{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "YaleEDdemo.ipynb",
"provenance": [],
"collapsed_sections": [],
"toc_visible": true,
"machine_shape": "hm",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TY2pkdvrdyXW",
"colab_type": "text"
},
"source": [
"\n",
"# Overview #\n",
"\n",
"In this demo, you'll learn to..\n",
"- mount to your own Google drive\n",
"- use pyreadr to read RData files\n",
"- explore the Yale's ED Triage data using UMap\n",
"- save a subset of the entire dataframe to a .pkl using Pickle\n",
"\n",
"Note: You'll use at least 24GB of RAM during your interactive session.\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ok1BCPsYdJIT",
"colab_type": "text"
},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TMTzxeQDdJLO",
"colab_type": "text"
},
"source": [
"## A) Mount and create subfolder ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "XJK88dLrjV5A",
"colab_type": "code",
"outputId": "48beda99-2993-4561-8b06-8a0daa272de6",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 55
}
},
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')\n",
"\n",
"from pydrive.auth import GoogleAuth\n",
"from pydrive.drive import GoogleDrive\n",
"from google.colab import auth\n",
"from oauth2client.client import GoogleCredentials\n"
],
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"text": [
"Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "Po3UZ_sQjhcZ",
"colab_type": "code",
"outputId": "60e705d7-c7dc-4e34-9010-a8360afb4eaf",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
}
},
"source": [
"import os\n",
"\n",
"try:\n",
" ! mkdir '/content/drive/My Drive/Colab Notebooks/opensource_datasets/'\n",
"except e as Exception:\n",
" pass \n",
"\n",
"try:\n",
" ! mkdir '/content/drive/My Drive/Colab Notebooks/opensource_datasets/YaleED'\n",
"except e as Exception:\n",
" pass \n",
"\n",
"\n",
"os.chdir('/content/drive/My Drive/Colab Notebooks/opensource_datasets/YaleED')"
],
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": [
"mkdir: cannot create directory ‘/content/drive/My Drive/Colab Notebooks/opensource_datasets/’: File exists\n",
"mkdir: cannot create directory ‘/content/drive/My Drive/Colab Notebooks/opensource_datasets/YaleED’: File exists\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "OADIriGOdQTW",
"colab_type": "text"
},
"source": [
"## B) Import pyreadr and read in RData ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "bWIaKOHWcMTO",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 221
},
"outputId": "4a582567-cefd-456a-ea70-1e2ea0ebe469"
},
"source": [
"! pip install pyreadr\n"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"Collecting pyreadr\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/1e/01/184674d1a4914deb6ae80aa691ad2d96c20c885b5385ef00149f26902ff0/pyreadr-0.2.6-cp36-cp36m-manylinux1_x86_64.whl (220kB)\n",
"\r\u001b[K |█▌ | 10kB 21.6MB/s eta 0:00:01\r\u001b[K |███ | 20kB 1.8MB/s eta 0:00:01\r\u001b[K |████▌ | 30kB 2.6MB/s eta 0:00:01\r\u001b[K |██████ | 40kB 1.7MB/s eta 0:00:01\r\u001b[K |███████▍ | 51kB 2.1MB/s eta 0:00:01\r\u001b[K |█████████ | 61kB 2.5MB/s eta 0:00:01\r\u001b[K |██████████▍ | 71kB 2.9MB/s eta 0:00:01\r\u001b[K |████████████ | 81kB 3.3MB/s eta 0:00:01\r\u001b[K |█████████████▍ | 92kB 3.7MB/s eta 0:00:01\r\u001b[K |██████████████▉ | 102kB 2.8MB/s eta 0:00:01\r\u001b[K |████████████████▍ | 112kB 2.8MB/s eta 0:00:01\r\u001b[K |█████████████████▉ | 122kB 2.8MB/s eta 0:00:01\r\u001b[K |███████████████████▍ | 133kB 2.8MB/s eta 0:00:01\r\u001b[K |████████████████████▉ | 143kB 2.8MB/s eta 0:00:01\r\u001b[K |██████████████████████▎ | 153kB 2.8MB/s eta 0:00:01\r\u001b[K |███████████████████████▉ | 163kB 2.8MB/s eta 0:00:01\r\u001b[K |█████████████████████████▎ | 174kB 2.8MB/s eta 0:00:01\r\u001b[K |██████████████████████████▉ | 184kB 2.8MB/s eta 0:00:01\r\u001b[K |████████████████████████████▎ | 194kB 2.8MB/s eta 0:00:01\r\u001b[K |█████████████████████████████▊ | 204kB 2.8MB/s eta 0:00:01\r\u001b[K |███████████████████████████████▎| 215kB 2.8MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 225kB 2.8MB/s \n",
"\u001b[?25hRequirement already satisfied: pandas in /usr/local/lib/python3.6/dist-packages (from pyreadr) (1.0.3)\n",
"Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from pandas->pyreadr) (1.18.2)\n",
"Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.6/dist-packages (from pandas->pyreadr) (2018.9)\n",
"Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas->pyreadr) (2.8.1)\n",
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.6/dist-packages (from python-dateutil>=2.6.1->pandas->pyreadr) (1.12.0)\n",
"Installing collected packages: pyreadr\n",
"Successfully installed pyreadr-0.2.6\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "LTUUiA-mcp9l",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "5acbf316-83f3-464c-ab34-20dd358a2751"
},
"source": [
"! ls"
],
"execution_count": 37,
"outputs": [
{
"output_type": "stream",
"text": [
"5v_cleandf.RData small_dat.mat small_dat.pkl\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "AdDtKmlQmI8h",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 146
},
"outputId": "a622fbb0-6aac-4f5a-94ef-1d1175fccd4a"
},
"source": [
"### another way to load RData\n",
"\n",
"# import rpy2.robjects as robjects\n",
"# robjects.r['load'](\".RData\")\n",
"\n",
"import pyreadr\n",
"import pandas as pd\n",
"\n",
"import time\n",
"\n",
"if ( 'data' in globals() ) == False:\n",
" t1=time.perf_counter()\n",
" # this dataset may take 10-40 minutes to load into memory\n",
" data = pyreadr.read_r('5v_cleandf.RData')\n",
" t2=time.perf_counter()\n",
" pd.set_option(\"display.max_rows\", None, \"display.max_columns\", None)\n",
" try:\n",
" print(data['df'].keys())\n",
" except:\n",
" pass"
],
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"text": [
"Index(['dep_name', 'esi', 'age', 'gender', 'ethnicity', 'race', 'lang',\n",
" 'religion', 'maritalstatus', 'employstatus',\n",
" ...\n",
" 'cc_vaginaldischarge', 'cc_vaginalpain', 'cc_weakness', 'cc_wheezing',\n",
" 'cc_withdrawal-alcohol', 'cc_woundcheck', 'cc_woundinfection',\n",
" 'cc_woundre-evaluation', 'cc_wristinjury', 'cc_wristpain'],\n",
" dtype='object', length=972)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "kEMF5cIZdXhe",
"colab_type": "text"
},
"source": [
"## C) Look at the first 5 and last 5 samples ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "mNjW3KDO2IuW",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "dfb1446a-a2b0-46c9-9e3c-a9db1fe179e6"
},
"source": [
"data['df'].head(5).transpose()"
],
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 0 | \n",
" 1 | \n",
" 2 | \n",
" 3 | \n",
" 4 | \n",
"
\n",
" \n",
" \n",
" \n",
" dep_name | \n",
" B | \n",
" B | \n",
" B | \n",
" A | \n",
" A | \n",
"
\n",
" \n",
" esi | \n",
" 4 | \n",
" 4 | \n",
" 2 | \n",
" 2 | \n",
" 3 | \n",
"
\n",
" \n",
" age | \n",
" 40 | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
" 84 | \n",
"
\n",
" \n",
" gender | \n",
" Male | \n",
" Male | \n",
" Male | \n",
" Male | \n",
" Female | \n",
"
\n",
" \n",
" ethnicity | \n",
" Hispanic or Latino | \n",
" Hispanic or Latino | \n",
" Hispanic or Latino | \n",
" Hispanic or Latino | \n",
" Hispanic or Latino | \n",
"
\n",
" \n",
" race | \n",
" White or Caucasian | \n",
" Native Hawaiian or Other Pacific Islander | \n",
" Native Hawaiian or Other Pacific Islander | \n",
" Native Hawaiian or Other Pacific Islander | \n",
" Other | \n",
"
\n",
" \n",
" lang | \n",
" English | \n",
" English | \n",
" English | \n",
" English | \n",
" Other | \n",
"
\n",
" \n",
" religion | \n",
" None | \n",
" Pentecostal | \n",
" Pentecostal | \n",
" Pentecostal | \n",
" Pentecostal | \n",
"
\n",
" \n",
" maritalstatus | \n",
" Single | \n",
" Married | \n",
" Married | \n",
" Married | \n",
" Widowed | \n",
"
\n",
" \n",
" employstatus | \n",
" Full Time | \n",
" Not Employed | \n",
" Not Employed | \n",
" Not Employed | \n",
" Retired | \n",
"
\n",
" \n",
" insurance_status | \n",
" Other | \n",
" Commercial | \n",
" Commercial | \n",
" Commercial | \n",
" Medicare | \n",
"
\n",
" \n",
" disposition | \n",
" Discharge | \n",
" Discharge | \n",
" Discharge | \n",
" Discharge | \n",
" Admit | \n",
"
\n",
" \n",
" arrivalmode | \n",
" Walk-in | \n",
" Car | \n",
" Walk-in | \n",
" Car | \n",
" Walk-in | \n",
"
\n",
" \n",
" arrivalmonth | \n",
" June | \n",
" January | \n",
" July | \n",
" July | \n",
" November | \n",
"
\n",
" \n",
" arrivalday | \n",
" Tuesday | \n",
" Tuesday | \n",
" Thursday | \n",
" Saturday | \n",
" Tuesday | \n",
"
\n",
" \n",
" arrivalhour_bin | \n",
" 23-02 | \n",
" 15-18 | \n",
" 11-14 | \n",
" 11-14 | \n",
" 07-10 | \n",
"
\n",
" \n",
" previousdispo | \n",
" No previous dispo | \n",
" No previous dispo | \n",
" Discharge | \n",
" Discharge | \n",
" Discharge | \n",
"
\n",
" \n",
" 2ndarymalig | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abdomhernia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abdomnlpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abortcompl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acqfootdef | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acrenlfail | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutecvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutemi | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutphanm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" adjustmentdisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" adltrespfl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" alcoholrelateddisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" allergy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" amniosdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" analrectal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" anemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" aneurysm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" anxietydisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" appendicitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" artembolism | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" asppneumon | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" asthma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" attentiondeficitconductdisruptivebeha | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" backproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" biliarydx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" birthasphyx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" birthtrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bladdercncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" blindness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bnignutneo | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bonectcncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bph | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" brainnscan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" breastcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" breastdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" brnchlngca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bronchitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" burns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cardiaarrst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cardiacanom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carditis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cataract | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cervixcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" chestpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" chfnonhp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" chrkidneydisease | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coaghemrdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coloncancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" comabrndmg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" complicdevi | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" complicproc | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" conduction | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" contraceptiv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" copd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coronathero | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" crushinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cysticfibro | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" deliriumdementiaamnesticothercognitiv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" developmentaldisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" diabmelnoc | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" diabmelwcm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" disordersusuallydiagnosedininfancych | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" diverticulos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dizziness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dminpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dysrhythmia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" earlylabor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesadverseeffectsofmedicalcare | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesadverseeffectsofmedicaldrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodescutpierce | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesdrowningsubmersion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfall | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfirearm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfireburn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesmachinery | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesmotorvehicletrafficmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesnaturalenvironment | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesotherspecifiedandclassifiable | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesotherspecifiednec | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodespedalcyclistnotmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesplaceofoccurrence | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodespoisoning | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesstruckbyagainst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodessuffocation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodestransportnotmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesunspecified | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ectopicpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" encephalitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" endometrios | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" epilepsycnv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" esophcancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" esophgealdx | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" exameval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" eyeinfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fatigue | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" femgenitca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" feminfertil | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fetaldistrs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fluidelcdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fuo | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxarm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxhip | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxleg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxskullfac | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gangrene | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gasduoulcer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gastritis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gastroent | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" giconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gihemorrhag | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" giperitcan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glaucoma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" goutotcrys | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" guconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hdnckcancr | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" headachemig | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hemmorhoids | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hemorrpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hepatitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hivinfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hodgkinsds | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hrtvalvedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" htn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" htncomplicn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" htninpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hyperlipidem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" immunitydx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" immunizscrn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" impulsecontroldisordersnec | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" inducabortn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" infectarth | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" influenza | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" infmalegen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intestinfct | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intobstruct | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intracrninj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" jointinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" kidnyrnlca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lateeffcvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukemias | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" liveborn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" liveribdca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" longpregncy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lowbirthwt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lungexternl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lymphenlarg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maintchemr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" malgenitca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maligneopls | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" malposition | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meningitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" menopausldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" menstrualdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" miscellaneousmentalhealthdisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mooddisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mouthdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" multmyeloma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mycoses | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nauseavomit | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" neoplsmunsp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nephritis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nervcongan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nonepithca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nonhodglym | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nutritdefic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" obrelatedperintrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" opnwndextr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" opnwndhead | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" osteoarthros | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" osteoporosis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otacqdefor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otaftercare | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otbnignneo | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otbonedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otcirculdx | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otcomplbir | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otconntiss | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxbladdr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxkidney | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxstomch | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otendodsor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otfemalgen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othbactinf | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othcnsinfx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othematldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othercvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othereardx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otheredcns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othereyedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othergidx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othergudx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherpregnancyanddeliveryincludingnormal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherscreen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othfracture | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othheartdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othinfectns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othliverdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othlowresp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othmalegen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othnervdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othskindx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othveindx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otinflskin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otitismedia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otjointdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" otnutritdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otperintdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otpregcomp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otprimryca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otrespirca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otupprresp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otuprspin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ovariancyst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ovarycancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pancreascan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pancreasdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" paralysis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" parkinsons | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pathologfx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pelvicobstr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" perintjaund | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" peripathero | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" peritonitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" personalitydisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" phlebitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pid | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pleurisy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pneumonia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" poisnnonmed | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" poisnotmed | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" poisonpsych | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" precereoccl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prevcsectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prolapse | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prostatecan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulmhartdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rctmanusca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rehab | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" respdistres | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" retinaldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rheumarth | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" schizophreniaandotherpsychoticdisorde | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" screeningandhistoryofmentalhealthan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" septicemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" septicemiaexceptinlabor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sexualinfxs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" shock | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sicklecell | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" skininfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" skinmelanom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sle | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" socialadmin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" spincorinj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" spontabortn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sprain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" stomchcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" substancerelateddisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" suicideandintentionalselfinflictedin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" superficinj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" syncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" teethdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" testiscancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" thyroidcncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" thyroiddsor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tonsillitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tuberculosis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ulceratcol | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ulcerskin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" umbilcord | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" unclassified | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urinstone | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urinyorgca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" uteruscancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" uti | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" varicosevn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" viralinfect | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" whtblooddx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" n_edvisits | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 2 | \n",
" 1 | \n",
"
\n",
" \n",
" n_admissions | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" absolutelymphocytecount_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1.9 | \n",
" NaN | \n",
"
\n",
" \n",
" acetonebld_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12 | \n",
" NaN | \n",
"
\n",
" \n",
" albumin_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alkphos_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 71 | \n",
" NaN | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 9.2 | \n",
" NaN | \n",
"
\n",
" \n",
" aniongap_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 19 | \n",
" NaN | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" -1 | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" basosabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.1 | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.4 | \n",
" NaN | \n",
"
\n",
" \n",
" bun_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bun/creatratio_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calcium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedco2(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 26 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 24.8 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 50 | \n",
" NaN | \n",
"
\n",
" \n",
" chloride_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" cktotal_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 25 | \n",
" NaN | \n",
"
\n",
" \n",
" creatinine_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" d-dimer_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" eosinoabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose,meter_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 42.3 | \n",
" NaN | \n",
"
\n",
" \n",
" hemoglobin_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 14.9 | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegrans(abs)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" lactate,poc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.6 | \n",
" NaN | \n",
"
\n",
" \n",
" lipase_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" NaN | \n",
"
\n",
" \n",
" magnesium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 31.1 | \n",
" NaN | \n",
"
\n",
" \n",
" mchc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 35.2 | \n",
" NaN | \n",
"
\n",
" \n",
" mcv_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 88 | \n",
" NaN | \n",
"
\n",
" \n",
" monocytes_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 5 | \n",
" NaN | \n",
"
\n",
" \n",
" monosabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" neutrophils_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 76 | \n",
" NaN | \n",
"
\n",
" \n",
" nrbc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pco2,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 238 | \n",
" NaN | \n",
"
\n",
" \n",
" po2(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 28 | \n",
" NaN | \n",
"
\n",
" \n",
" po2,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10 | \n",
" NaN | \n",
"
\n",
" \n",
" poccreatinine_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" pocglucose_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 109 | \n",
" NaN | \n",
"
\n",
" \n",
" pochematocrit_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pocionizedcalcium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.5 | \n",
" NaN | \n",
"
\n",
" \n",
" pocph_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 7.36 | \n",
" NaN | \n",
"
\n",
" \n",
" pocpotassium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.2 | \n",
" NaN | \n",
"
\n",
" \n",
" pocsodium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 136 | \n",
" NaN | \n",
"
\n",
" \n",
" poctroponini._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" proteintotal_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" prothrombintime_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" ptt_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rbc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.8 | \n",
" NaN | \n",
"
\n",
" \n",
" rbc/hpf_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.6 | \n",
" NaN | \n",
"
\n",
" \n",
" sodium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" troponini(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" troponint_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.2 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc/hpf_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1.9 | \n",
" NaN | \n",
"
\n",
" \n",
" acetonebld_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12 | \n",
" NaN | \n",
"
\n",
" \n",
" albumin_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alkphos_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 71 | \n",
" NaN | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 9.2 | \n",
" NaN | \n",
"
\n",
" \n",
" aniongap_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 19 | \n",
" NaN | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" -1 | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" basosabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.1 | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.4 | \n",
" NaN | \n",
"
\n",
" \n",
" bun_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bun/creatratio_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calcium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedco2(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 26 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 24.8 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 50 | \n",
" NaN | \n",
"
\n",
" \n",
" chloride_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" cktotal_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 25 | \n",
" NaN | \n",
"
\n",
" \n",
" creatinine_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" d-dimer_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" eosinoabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose,meter_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 42.3 | \n",
" NaN | \n",
"
\n",
" \n",
" hemoglobin_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 14.9 | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegrans(abs)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" lactate,poc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.6 | \n",
" NaN | \n",
"
\n",
" \n",
" lipase_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" NaN | \n",
"
\n",
" \n",
" magnesium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 31.1 | \n",
" NaN | \n",
"
\n",
" \n",
" mchc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 35.2 | \n",
" NaN | \n",
"
\n",
" \n",
" mcv_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 88 | \n",
" NaN | \n",
"
\n",
" \n",
" monocytes_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 5 | \n",
" NaN | \n",
"
\n",
" \n",
" monosabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" neutrophils_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 76 | \n",
" NaN | \n",
"
\n",
" \n",
" nrbc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pco2,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 238 | \n",
" NaN | \n",
"
\n",
" \n",
" po2(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 28 | \n",
" NaN | \n",
"
\n",
" \n",
" po2,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10 | \n",
" NaN | \n",
"
\n",
" \n",
" poccreatinine_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" pocglucose_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 109 | \n",
" NaN | \n",
"
\n",
" \n",
" pochematocrit_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pocionizedcalcium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.5 | \n",
" NaN | \n",
"
\n",
" \n",
" pocph_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 7.36 | \n",
" NaN | \n",
"
\n",
" \n",
" pocpotassium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.2 | \n",
" NaN | \n",
"
\n",
" \n",
" pocsodium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 136 | \n",
" NaN | \n",
"
\n",
" \n",
" poctroponini._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" proteintotal_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" prothrombintime_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" ptt_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rbc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.8 | \n",
" NaN | \n",
"
\n",
" \n",
" rbc/hpf_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.6 | \n",
" NaN | \n",
"
\n",
" \n",
" sodium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" troponini(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" troponint_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.2 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc/hpf_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1.9 | \n",
" NaN | \n",
"
\n",
" \n",
" acetonebld_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12 | \n",
" NaN | \n",
"
\n",
" \n",
" albumin_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alkphos_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 71 | \n",
" NaN | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 9.2 | \n",
" NaN | \n",
"
\n",
" \n",
" aniongap_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 19 | \n",
" NaN | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" -1 | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" basosabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.1 | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.4 | \n",
" NaN | \n",
"
\n",
" \n",
" bun_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bun/creatratio_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calcium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedco2(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 26 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 24.8 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 50 | \n",
" NaN | \n",
"
\n",
" \n",
" chloride_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" cktotal_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 25 | \n",
" NaN | \n",
"
\n",
" \n",
" creatinine_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" d-dimer_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" eosinoabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose,meter_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 42.3 | \n",
" NaN | \n",
"
\n",
" \n",
" hemoglobin_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 14.9 | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegrans(abs)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" lactate,poc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.6 | \n",
" NaN | \n",
"
\n",
" \n",
" lipase_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" NaN | \n",
"
\n",
" \n",
" magnesium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 31.1 | \n",
" NaN | \n",
"
\n",
" \n",
" mchc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 35.2 | \n",
" NaN | \n",
"
\n",
" \n",
" mcv_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 88 | \n",
" NaN | \n",
"
\n",
" \n",
" monocytes_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 5 | \n",
" NaN | \n",
"
\n",
" \n",
" monosabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" neutrophils_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 76 | \n",
" NaN | \n",
"
\n",
" \n",
" nrbc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pco2,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 238 | \n",
" NaN | \n",
"
\n",
" \n",
" po2(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 28 | \n",
" NaN | \n",
"
\n",
" \n",
" po2,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10 | \n",
" NaN | \n",
"
\n",
" \n",
" poccreatinine_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" pocglucose_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 109 | \n",
" NaN | \n",
"
\n",
" \n",
" pochematocrit_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pocionizedcalcium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.5 | \n",
" NaN | \n",
"
\n",
" \n",
" pocph_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 7.36 | \n",
" NaN | \n",
"
\n",
" \n",
" pocpotassium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.2 | \n",
" NaN | \n",
"
\n",
" \n",
" pocsodium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 136 | \n",
" NaN | \n",
"
\n",
" \n",
" poctroponini._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" proteintotal_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" prothrombintime_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" ptt_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rbc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.8 | \n",
" NaN | \n",
"
\n",
" \n",
" rbc/hpf_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.6 | \n",
" NaN | \n",
"
\n",
" \n",
" sodium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" troponini(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" troponint_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.2 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc/hpf_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1.9 | \n",
" NaN | \n",
"
\n",
" \n",
" acetonebld_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12 | \n",
" NaN | \n",
"
\n",
" \n",
" albumin_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alkphos_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 71 | \n",
" NaN | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 9.2 | \n",
" NaN | \n",
"
\n",
" \n",
" aniongap_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 19 | \n",
" NaN | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" -1 | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" basosabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.1 | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.4 | \n",
" NaN | \n",
"
\n",
" \n",
" bun_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bun/creatratio_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calcium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedco2(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 26 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 24.8 | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 50 | \n",
" NaN | \n",
"
\n",
" \n",
" chloride_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" cktotal_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 25 | \n",
" NaN | \n",
"
\n",
" \n",
" creatinine_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" d-dimer_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" eosinoabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose,meter_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 42.3 | \n",
" NaN | \n",
"
\n",
" \n",
" hemoglobin_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 14.9 | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegrans(abs)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" lactate,poc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0.6 | \n",
" NaN | \n",
"
\n",
" \n",
" lipase_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" NaN | \n",
"
\n",
" \n",
" magnesium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 31.1 | \n",
" NaN | \n",
"
\n",
" \n",
" mchc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 35.2 | \n",
" NaN | \n",
"
\n",
" \n",
" mcv_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 88 | \n",
" NaN | \n",
"
\n",
" \n",
" monocytes_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 5 | \n",
" NaN | \n",
"
\n",
" \n",
" monosabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" neutrophils_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 76 | \n",
" NaN | \n",
"
\n",
" \n",
" nrbc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pco2,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 238 | \n",
" NaN | \n",
"
\n",
" \n",
" po2(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 28 | \n",
" NaN | \n",
"
\n",
" \n",
" po2,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10 | \n",
" NaN | \n",
"
\n",
" \n",
" poccreatinine_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
"
\n",
" \n",
" pocglucose_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 109 | \n",
" NaN | \n",
"
\n",
" \n",
" pochematocrit_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 44 | \n",
" NaN | \n",
"
\n",
" \n",
" pocionizedcalcium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.5 | \n",
" NaN | \n",
"
\n",
" \n",
" pocph_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 7.36 | \n",
" NaN | \n",
"
\n",
" \n",
" pocpotassium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.2 | \n",
" NaN | \n",
"
\n",
" \n",
" pocsodium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 136 | \n",
" NaN | \n",
"
\n",
" \n",
" poctroponini._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" proteintotal_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" prothrombintime_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 10.3 | \n",
" NaN | \n",
"
\n",
" \n",
" ptt_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rbc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 4.8 | \n",
" NaN | \n",
"
\n",
" \n",
" rbc/hpf_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.6 | \n",
" NaN | \n",
"
\n",
" \n",
" sodium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" troponini(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" troponint_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 12.2 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc/hpf_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bloodua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glucoseua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ketonesua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukocytesua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nitriteua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pregtestur_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodculture,routine_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urineculture,routine_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glucoseua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ketonesua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukocytesua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nitriteua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pregtestur_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodculture,routine_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urineculture,routine_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glucoseua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ketonesua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukocytesua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nitriteua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pregtestur_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodculture,routine_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urineculture,routine_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" triage_vital_hr | \n",
" 63 | \n",
" 83 | \n",
" 78 | \n",
" 98 | \n",
" 101 | \n",
"
\n",
" \n",
" triage_vital_sbp | \n",
" 146 | \n",
" 125 | \n",
" 134 | \n",
" 171 | \n",
" 133 | \n",
"
\n",
" \n",
" triage_vital_dbp | \n",
" 85 | \n",
" 77 | \n",
" 78 | \n",
" 92 | \n",
" 72 | \n",
"
\n",
" \n",
" triage_vital_rr | \n",
" 18 | \n",
" 16 | \n",
" 16 | \n",
" 18 | \n",
" 18 | \n",
"
\n",
" \n",
" triage_vital_o2 | \n",
" 97 | \n",
" NaN | \n",
" 97 | \n",
" 98 | \n",
" 97 | \n",
"
\n",
" \n",
" triage_vital_o2_device | \n",
" 0 | \n",
" 0 | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" triage_vital_temp | \n",
" 97 | \n",
" 98 | \n",
" 97.8 | \n",
" NaN | \n",
" 98.4 | \n",
"
\n",
" \n",
" pulse_last | \n",
" NaN | \n",
" NaN | \n",
" 83 | \n",
" 61 | \n",
" 75 | \n",
"
\n",
" \n",
" resp_last | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" 16 | \n",
" 18 | \n",
"
\n",
" \n",
" spo2_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 97 | \n",
"
\n",
" \n",
" temp_last | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 97.6 | \n",
" 98 | \n",
"
\n",
" \n",
" sbp_last | \n",
" NaN | \n",
" NaN | \n",
" 125 | \n",
" 135 | \n",
" 140 | \n",
"
\n",
" \n",
" dbp_last | \n",
" NaN | \n",
" NaN | \n",
" 77 | \n",
" 83 | \n",
" 58 | \n",
"
\n",
" \n",
" o2_device_last | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulse_min | \n",
" NaN | \n",
" NaN | \n",
" 83 | \n",
" 61 | \n",
" 70 | \n",
"
\n",
" \n",
" resp_min | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" 16 | \n",
" 18 | \n",
"
\n",
" \n",
" spo2_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 97 | \n",
" 97 | \n",
"
\n",
" \n",
" temp_min | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 97.6 | \n",
" 98 | \n",
"
\n",
" \n",
" sbp_min | \n",
" NaN | \n",
" NaN | \n",
" 125 | \n",
" 125 | \n",
" 96 | \n",
"
\n",
" \n",
" dbp_min | \n",
" NaN | \n",
" NaN | \n",
" 77 | \n",
" 67 | \n",
" 58 | \n",
"
\n",
" \n",
" o2_device_min | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulse_max | \n",
" NaN | \n",
" NaN | \n",
" 83 | \n",
" 83 | \n",
" 76 | \n",
"
\n",
" \n",
" resp_max | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" 16 | \n",
" 18 | \n",
"
\n",
" \n",
" spo2_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 98 | \n",
"
\n",
" \n",
" temp_max | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 98 | \n",
" 98.4 | \n",
"
\n",
" \n",
" sbp_max | \n",
" NaN | \n",
" NaN | \n",
" 125 | \n",
" 135 | \n",
" 140 | \n",
"
\n",
" \n",
" dbp_max | \n",
" NaN | \n",
" NaN | \n",
" 77 | \n",
" 83 | \n",
" 76 | \n",
"
\n",
" \n",
" o2_device_max | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulse_median | \n",
" NaN | \n",
" NaN | \n",
" 83 | \n",
" 74.5 | \n",
" 75 | \n",
"
\n",
" \n",
" resp_median | \n",
" NaN | \n",
" NaN | \n",
" 16 | \n",
" 16 | \n",
" 18 | \n",
"
\n",
" \n",
" spo2_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 97 | \n",
"
\n",
" \n",
" temp_median | \n",
" NaN | \n",
" NaN | \n",
" 98 | \n",
" 97.85 | \n",
" 98.2 | \n",
"
\n",
" \n",
" sbp_median | \n",
" NaN | \n",
" NaN | \n",
" 125 | \n",
" 132.5 | \n",
" 132 | \n",
"
\n",
" \n",
" dbp_median | \n",
" NaN | \n",
" NaN | \n",
" 77 | \n",
" 77.5 | \n",
" 70 | \n",
"
\n",
" \n",
" o2_device_median | \n",
" NaN | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cxr_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" echo_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ekg_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" headct_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" mri_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherct_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherimg_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherus_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" otherxr_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_analgesicandantihistaminecombination | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_analgesics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anesthetics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anti-obesitydrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiallergy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiarthritics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_antiasthmatics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antibiotics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anticoagulants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antidotes | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antifungals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_antihistamineanddecongestantcombination | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antihistamines | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antihyperglycemics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiinfectives | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiinfectives/miscellaneous | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antineoplastics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiparkinsondrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiplateletdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antivirals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_autonomicdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_biologicals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_blood | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cardiacdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cardiovascular | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_cnsdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_colonystimulatingfactors | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_contraceptives | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cough/coldpreparations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_diagnostic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_diuretics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_eentpreps | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_elect/caloric/h2o | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_gastrointestinal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_herbals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_hormones | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_immunosuppressants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_investigational | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_miscellaneousmedicalsupplies,devices,non-drug | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_musclerelaxants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_pre-natalvitamins | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_psychotherapeuticdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_sedative/hypnotics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_skinpreps | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_smokingdeterrents | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_thyroidpreps | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_unclassifieddrugproducts | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_vitamins | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" n_surgeries | \n",
" 1 | \n",
" 2 | \n",
" 2 | \n",
" 2 | \n",
" 5 | \n",
"
\n",
" \n",
" cc_abdominalcramping | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominaldistention | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominalpainpregnant | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abnormallab | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abscess | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_addictionproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_agitation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alcoholintoxication | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alcoholproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_allergicreaction | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alteredmentalstatus | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_animalbite | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ankleinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_anklepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_anxiety | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_arminjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_armpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_armswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_assaultvictim | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_asthma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_backpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_bleeding/bruising | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_blurredvision | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_bodyfluidexposure | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breastpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breathingdifficulty | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breathingproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_burn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cardiacarrest | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cellulitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chestpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chesttightness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chills | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_coldlikesymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_confusion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_conjunctivitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_constipation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cough | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cyst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_decreasedbloodsugar-symptomatic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dehydration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dentalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_depression | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_detoxevaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_diarrhea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dizziness | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_drug/alcoholassessment | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_drugproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dyspnea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dysuria | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_earpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_earproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_edema | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elbowpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elevatedbloodsugar-nosymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elevatedbloodsugar-symptomatic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_emesis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" cc_epigastricpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_epistaxis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_exposuretostd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_extremitylaceration | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_extremityweakness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeredness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_faciallaceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fall | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fall>65 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fatigue | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_femaleguproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever-75yearsorolder | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever-9weeksto74years | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_feverimmunocompromised | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_flankpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_follow-upcellulitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_foreignbodyineye | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fulltrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_generalizedbodyaches | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_gibleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_giproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_groinpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hallucinations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_handinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_handpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache-newonsetornewsymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache-recurrentorknowndxmigraines | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headachere-evaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headlaceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hematuria | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hemoptysis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hippain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_homicidal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hyperglycemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hypertension | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hypotension | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_influenza | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ingestion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_insectbite | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_irregularheartbeat | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_jawpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_jointswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_kneeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_kneepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_laceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_leginjury | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_legpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_legswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_lethargy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_lossofconsciousness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_maleguproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_mass | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicalproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicalscreening | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicationproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicationrefill | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_migraine | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_modifiedtrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_motorcyclecrash | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_motorvehiclecrash | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_multiplefalls | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nasalcongestion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nausea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nearsyncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_neckpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_neurologicproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_numbness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_oralswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_otalgia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_other | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_overdose-accidental | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_overdose-intentional | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_pain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_palpitations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_panicattack | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_pelvicpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_poisoning | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_post-opproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_psychiatricevaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_psychoticsymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rapidheartrate | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rash | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rectalbleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rectalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_respiratorydistress | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ribinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ribpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizure-newonset | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizure-priorhxof | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizures | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shortnessofbreath | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shoulderinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shoulderpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sicklecellpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sinusproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_skinirritation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_skinproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sorethroat | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_stdcheck | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_strokealert | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_suicidal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_suture/stapleremoval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_swallowedforeignbody | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_syncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_tachycardia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_testiclepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_thumbinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_tickremoval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_toeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_toepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_trauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_unresponsive | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_uri | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinaryfrequency | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinaryretention | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinarytractinfection | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginalbleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginaldischarge | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_weakness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wheezing | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_withdrawal-alcohol | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundcheck | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundinfection | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundre-evaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wristinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wristpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 0 \\\n",
"dep_name B \n",
"esi 4 \n",
"age 40 \n",
"gender Male \n",
"ethnicity Hispanic or Latino \n",
"race White or Caucasian \n",
"lang English \n",
"religion None \n",
"maritalstatus Single \n",
"employstatus Full Time \n",
"insurance_status Other \n",
"disposition Discharge \n",
"arrivalmode Walk-in \n",
"arrivalmonth June \n",
"arrivalday Tuesday \n",
"arrivalhour_bin 23-02 \n",
"previousdispo No previous dispo \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 0 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 0 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 0 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 0 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 0 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 0 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 0 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 0 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 0 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 0 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 0 \n",
"otbnignneo 0 \n",
"otbonedx 0 \n",
"otcirculdx 1 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 0 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 0 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 0 \n",
"othinfectns 0 \n",
"othliverdx 0 \n",
"othlowresp 0 \n",
"othmalegen 0 \n",
"othnervdx 0 \n",
"othskindx 0 \n",
"othveindx 0 \n",
"otinflskin 0 \n",
"otitismedia 0 \n",
"otjointdx 0 \n",
"otnutritdx 0 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 0 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 0 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 0 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 0 \n",
"n_admissions 0 \n",
"absolutelymphocytecount_last NaN \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last NaN \n",
"aniongap_last NaN \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last NaN \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last NaN \n",
"bun/creatratio_last NaN \n",
"calcium_last NaN \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last NaN \n",
"cktotal_last NaN \n",
"co2_last NaN \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last NaN \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last NaN \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last NaN \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last NaN \n",
"hemoglobin_last NaN \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last NaN \n",
"magnesium_last NaN \n",
"mch_last NaN \n",
"mchc_last NaN \n",
"mcv_last NaN \n",
"monocytes_last NaN \n",
"monosabs_last NaN \n",
"mpv_last NaN \n",
"neutrophils_last NaN \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last NaN \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last NaN \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last NaN \n",
"rbc/hpf_last NaN \n",
"rdw_last NaN \n",
"sodium_last NaN \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last NaN \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min NaN \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min NaN \n",
"albumin_min NaN \n",
"alkphos_min NaN \n",
"anc(absneutrophilcount)_min NaN \n",
"aniongap_min NaN \n",
"aspartateaminotransferase(ast)_min NaN \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min NaN \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min NaN \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min NaN \n",
"bun_min NaN \n",
"bun/creatratio_min NaN \n",
"calcium_min NaN \n",
"calculatedco2(poc)_min NaN \n",
"calculatedhco3(poc)i_min NaN \n",
"calculatedo2saturation(poc)_min NaN \n",
"chloride_min NaN \n",
"cktotal_min NaN \n",
"co2_min NaN \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min NaN \n",
"creatinine_min NaN \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min NaN \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min NaN \n",
"glucose,meter_min NaN \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min NaN \n",
"hemoglobin_min NaN \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min NaN \n",
"lipase_min NaN \n",
"lymphs_min NaN \n",
"magnesium_min NaN \n",
"mch_min NaN \n",
"mchc_min NaN \n",
"mcv_min NaN \n",
"monocytes_min NaN \n",
"monosabs_min NaN \n",
"mpv_min NaN \n",
"neutrophils_min NaN \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min NaN \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min NaN \n",
"po2(poc)_min NaN \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min NaN \n",
"poccreatinine_min NaN \n",
"pocglucose_min NaN \n",
"pochematocrit_min NaN \n",
"pocionizedcalcium_min NaN \n",
"pocph_min NaN \n",
"pocpotassium_min NaN \n",
"pocsodium_min NaN \n",
"poctroponini._min NaN \n",
"potassium_min NaN \n",
"proteintotal_min NaN \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min NaN \n",
"rbc/hpf_min NaN \n",
"rdw_min NaN \n",
"sodium_min NaN \n",
"troponini(poc)_min NaN \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min NaN \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max NaN \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max NaN \n",
"albumin_max NaN \n",
"alkphos_max NaN \n",
"anc(absneutrophilcount)_max NaN \n",
"aniongap_max NaN \n",
"aspartateaminotransferase(ast)_max NaN \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max NaN \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max NaN \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max NaN \n",
"bun_max NaN \n",
"bun/creatratio_max NaN \n",
"calcium_max NaN \n",
"calculatedco2(poc)_max NaN \n",
"calculatedhco3(poc)i_max NaN \n",
"calculatedo2saturation(poc)_max NaN \n",
"chloride_max NaN \n",
"cktotal_max NaN \n",
"co2_max NaN \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max NaN \n",
"creatinine_max NaN \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max NaN \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max NaN \n",
"glucose,meter_max NaN \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max NaN \n",
"hemoglobin_max NaN \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max NaN \n",
"lipase_max NaN \n",
"lymphs_max NaN \n",
"magnesium_max NaN \n",
"mch_max NaN \n",
"mchc_max NaN \n",
"mcv_max NaN \n",
"monocytes_max NaN \n",
"monosabs_max NaN \n",
"mpv_max NaN \n",
"neutrophils_max NaN \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max NaN \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max NaN \n",
"po2(poc)_max NaN \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max NaN \n",
"poccreatinine_max NaN \n",
"pocglucose_max NaN \n",
"pochematocrit_max NaN \n",
"pocionizedcalcium_max NaN \n",
"pocph_max NaN \n",
"pocpotassium_max NaN \n",
"pocsodium_max NaN \n",
"poctroponini._max NaN \n",
"potassium_max NaN \n",
"proteintotal_max NaN \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max NaN \n",
"rbc/hpf_max NaN \n",
"rdw_max NaN \n",
"sodium_max NaN \n",
"troponini(poc)_max NaN \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max NaN \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median NaN \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median NaN \n",
"albumin_median NaN \n",
"alkphos_median NaN \n",
"anc(absneutrophilcount)_median NaN \n",
"aniongap_median NaN \n",
"aspartateaminotransferase(ast)_median NaN \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median NaN \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median NaN \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median NaN \n",
"bun_median NaN \n",
"bun/creatratio_median NaN \n",
"calcium_median NaN \n",
"calculatedco2(poc)_median NaN \n",
"calculatedhco3(poc)i_median NaN \n",
"calculatedo2saturation(poc)_median NaN \n",
"chloride_median NaN \n",
"cktotal_median NaN \n",
"co2_median NaN \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median NaN \n",
"creatinine_median NaN \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median NaN \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median NaN \n",
"glucose,meter_median NaN \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median NaN \n",
"hemoglobin_median NaN \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median NaN \n",
"lipase_median NaN \n",
"lymphs_median NaN \n",
"magnesium_median NaN \n",
"mch_median NaN \n",
"mchc_median NaN \n",
"mcv_median NaN \n",
"monocytes_median NaN \n",
"monosabs_median NaN \n",
"mpv_median NaN \n",
"neutrophils_median NaN \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median NaN \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median NaN \n",
"po2(poc)_median NaN \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median NaN \n",
"poccreatinine_median NaN \n",
"pocglucose_median NaN \n",
"pochematocrit_median NaN \n",
"pocionizedcalcium_median NaN \n",
"pocph_median NaN \n",
"pocpotassium_median NaN \n",
"pocsodium_median NaN \n",
"poctroponini._median NaN \n",
"potassium_median NaN \n",
"proteintotal_median NaN \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median NaN \n",
"rbc/hpf_median NaN \n",
"rdw_median NaN \n",
"sodium_median NaN \n",
"troponini(poc)_median NaN \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median NaN \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 0 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 63 \n",
"triage_vital_sbp 146 \n",
"triage_vital_dbp 85 \n",
"triage_vital_rr 18 \n",
"triage_vital_o2 97 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 97 \n",
"pulse_last NaN \n",
"resp_last NaN \n",
"spo2_last NaN \n",
"temp_last NaN \n",
"sbp_last NaN \n",
"dbp_last NaN \n",
"o2_device_last NaN \n",
"pulse_min NaN \n",
"resp_min NaN \n",
"spo2_min NaN \n",
"temp_min NaN \n",
"sbp_min NaN \n",
"dbp_min NaN \n",
"o2_device_min NaN \n",
"pulse_max NaN \n",
"resp_max NaN \n",
"spo2_max NaN \n",
"temp_max NaN \n",
"sbp_max NaN \n",
"dbp_max NaN \n",
"o2_device_max NaN \n",
"pulse_median NaN \n",
"resp_median NaN \n",
"spo2_median NaN \n",
"temp_median NaN \n",
"sbp_median NaN \n",
"dbp_median NaN \n",
"o2_device_median NaN \n",
"cxr_count 0 \n",
"echo_count 0 \n",
"ekg_count 0 \n",
"headct_count 0 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 0 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 0 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 0 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 1 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 1 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 1 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 1 \\\n",
"dep_name B \n",
"esi 4 \n",
"age 66 \n",
"gender Male \n",
"ethnicity Hispanic or Latino \n",
"race Native Hawaiian or Other Pacific Islander \n",
"lang English \n",
"religion Pentecostal \n",
"maritalstatus Married \n",
"employstatus Not Employed \n",
"insurance_status Commercial \n",
"disposition Discharge \n",
"arrivalmode Car \n",
"arrivalmonth January \n",
"arrivalday Tuesday \n",
"arrivalhour_bin 15-18 \n",
"previousdispo No previous dispo \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 0 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 0 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 0 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 0 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 0 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 0 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 0 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 1 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 0 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 1 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 0 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 1 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 0 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 0 \n",
"otbnignneo 0 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 0 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 0 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 0 \n",
"othinfectns 0 \n",
"othliverdx 0 \n",
"othlowresp 0 \n",
"othmalegen 0 \n",
"othnervdx 0 \n",
"othskindx 0 \n",
"othveindx 0 \n",
"otinflskin 0 \n",
"otitismedia 0 \n",
"otjointdx 0 \n",
"otnutritdx 0 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 0 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 0 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 0 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 1 \n",
"whtblooddx 0 \n",
"n_edvisits 0 \n",
"n_admissions 0 \n",
"absolutelymphocytecount_last NaN \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last NaN \n",
"aniongap_last NaN \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last NaN \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last NaN \n",
"bun/creatratio_last NaN \n",
"calcium_last NaN \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last NaN \n",
"cktotal_last NaN \n",
"co2_last NaN \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last NaN \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last NaN \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last NaN \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last NaN \n",
"hemoglobin_last NaN \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last NaN \n",
"magnesium_last NaN \n",
"mch_last NaN \n",
"mchc_last NaN \n",
"mcv_last NaN \n",
"monocytes_last NaN \n",
"monosabs_last NaN \n",
"mpv_last NaN \n",
"neutrophils_last NaN \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last NaN \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last NaN \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last NaN \n",
"rbc/hpf_last NaN \n",
"rdw_last NaN \n",
"sodium_last NaN \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last NaN \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min NaN \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min NaN \n",
"albumin_min NaN \n",
"alkphos_min NaN \n",
"anc(absneutrophilcount)_min NaN \n",
"aniongap_min NaN \n",
"aspartateaminotransferase(ast)_min NaN \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min NaN \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min NaN \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min NaN \n",
"bun_min NaN \n",
"bun/creatratio_min NaN \n",
"calcium_min NaN \n",
"calculatedco2(poc)_min NaN \n",
"calculatedhco3(poc)i_min NaN \n",
"calculatedo2saturation(poc)_min NaN \n",
"chloride_min NaN \n",
"cktotal_min NaN \n",
"co2_min NaN \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min NaN \n",
"creatinine_min NaN \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min NaN \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min NaN \n",
"glucose,meter_min NaN \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min NaN \n",
"hemoglobin_min NaN \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min NaN \n",
"lipase_min NaN \n",
"lymphs_min NaN \n",
"magnesium_min NaN \n",
"mch_min NaN \n",
"mchc_min NaN \n",
"mcv_min NaN \n",
"monocytes_min NaN \n",
"monosabs_min NaN \n",
"mpv_min NaN \n",
"neutrophils_min NaN \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min NaN \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min NaN \n",
"po2(poc)_min NaN \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min NaN \n",
"poccreatinine_min NaN \n",
"pocglucose_min NaN \n",
"pochematocrit_min NaN \n",
"pocionizedcalcium_min NaN \n",
"pocph_min NaN \n",
"pocpotassium_min NaN \n",
"pocsodium_min NaN \n",
"poctroponini._min NaN \n",
"potassium_min NaN \n",
"proteintotal_min NaN \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min NaN \n",
"rbc/hpf_min NaN \n",
"rdw_min NaN \n",
"sodium_min NaN \n",
"troponini(poc)_min NaN \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min NaN \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max NaN \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max NaN \n",
"albumin_max NaN \n",
"alkphos_max NaN \n",
"anc(absneutrophilcount)_max NaN \n",
"aniongap_max NaN \n",
"aspartateaminotransferase(ast)_max NaN \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max NaN \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max NaN \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max NaN \n",
"bun_max NaN \n",
"bun/creatratio_max NaN \n",
"calcium_max NaN \n",
"calculatedco2(poc)_max NaN \n",
"calculatedhco3(poc)i_max NaN \n",
"calculatedo2saturation(poc)_max NaN \n",
"chloride_max NaN \n",
"cktotal_max NaN \n",
"co2_max NaN \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max NaN \n",
"creatinine_max NaN \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max NaN \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max NaN \n",
"glucose,meter_max NaN \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max NaN \n",
"hemoglobin_max NaN \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max NaN \n",
"lipase_max NaN \n",
"lymphs_max NaN \n",
"magnesium_max NaN \n",
"mch_max NaN \n",
"mchc_max NaN \n",
"mcv_max NaN \n",
"monocytes_max NaN \n",
"monosabs_max NaN \n",
"mpv_max NaN \n",
"neutrophils_max NaN \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max NaN \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max NaN \n",
"po2(poc)_max NaN \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max NaN \n",
"poccreatinine_max NaN \n",
"pocglucose_max NaN \n",
"pochematocrit_max NaN \n",
"pocionizedcalcium_max NaN \n",
"pocph_max NaN \n",
"pocpotassium_max NaN \n",
"pocsodium_max NaN \n",
"poctroponini._max NaN \n",
"potassium_max NaN \n",
"proteintotal_max NaN \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max NaN \n",
"rbc/hpf_max NaN \n",
"rdw_max NaN \n",
"sodium_max NaN \n",
"troponini(poc)_max NaN \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max NaN \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median NaN \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median NaN \n",
"albumin_median NaN \n",
"alkphos_median NaN \n",
"anc(absneutrophilcount)_median NaN \n",
"aniongap_median NaN \n",
"aspartateaminotransferase(ast)_median NaN \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median NaN \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median NaN \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median NaN \n",
"bun_median NaN \n",
"bun/creatratio_median NaN \n",
"calcium_median NaN \n",
"calculatedco2(poc)_median NaN \n",
"calculatedhco3(poc)i_median NaN \n",
"calculatedo2saturation(poc)_median NaN \n",
"chloride_median NaN \n",
"cktotal_median NaN \n",
"co2_median NaN \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median NaN \n",
"creatinine_median NaN \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median NaN \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median NaN \n",
"glucose,meter_median NaN \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median NaN \n",
"hemoglobin_median NaN \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median NaN \n",
"lipase_median NaN \n",
"lymphs_median NaN \n",
"magnesium_median NaN \n",
"mch_median NaN \n",
"mchc_median NaN \n",
"mcv_median NaN \n",
"monocytes_median NaN \n",
"monosabs_median NaN \n",
"mpv_median NaN \n",
"neutrophils_median NaN \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median NaN \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median NaN \n",
"po2(poc)_median NaN \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median NaN \n",
"poccreatinine_median NaN \n",
"pocglucose_median NaN \n",
"pochematocrit_median NaN \n",
"pocionizedcalcium_median NaN \n",
"pocph_median NaN \n",
"pocpotassium_median NaN \n",
"pocsodium_median NaN \n",
"poctroponini._median NaN \n",
"potassium_median NaN \n",
"proteintotal_median NaN \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median NaN \n",
"rbc/hpf_median NaN \n",
"rdw_median NaN \n",
"sodium_median NaN \n",
"troponini(poc)_median NaN \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median NaN \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 0 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 83 \n",
"triage_vital_sbp 125 \n",
"triage_vital_dbp 77 \n",
"triage_vital_rr 16 \n",
"triage_vital_o2 NaN \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 98 \n",
"pulse_last NaN \n",
"resp_last NaN \n",
"spo2_last NaN \n",
"temp_last NaN \n",
"sbp_last NaN \n",
"dbp_last NaN \n",
"o2_device_last NaN \n",
"pulse_min NaN \n",
"resp_min NaN \n",
"spo2_min NaN \n",
"temp_min NaN \n",
"sbp_min NaN \n",
"dbp_min NaN \n",
"o2_device_min NaN \n",
"pulse_max NaN \n",
"resp_max NaN \n",
"spo2_max NaN \n",
"temp_max NaN \n",
"sbp_max NaN \n",
"dbp_max NaN \n",
"o2_device_max NaN \n",
"pulse_median NaN \n",
"resp_median NaN \n",
"spo2_median NaN \n",
"temp_median NaN \n",
"sbp_median NaN \n",
"dbp_median NaN \n",
"o2_device_median NaN \n",
"cxr_count 0 \n",
"echo_count 0 \n",
"ekg_count 0 \n",
"headct_count 0 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 0 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 0 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 0 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 2 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 1 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 2 \\\n",
"dep_name B \n",
"esi 2 \n",
"age 66 \n",
"gender Male \n",
"ethnicity Hispanic or Latino \n",
"race Native Hawaiian or Other Pacific Islander \n",
"lang English \n",
"religion Pentecostal \n",
"maritalstatus Married \n",
"employstatus Not Employed \n",
"insurance_status Commercial \n",
"disposition Discharge \n",
"arrivalmode Walk-in \n",
"arrivalmonth July \n",
"arrivalday Thursday \n",
"arrivalhour_bin 11-14 \n",
"previousdispo Discharge \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 0 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 0 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 0 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 0 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 0 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 0 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 0 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 1 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 0 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 1 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 0 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 1 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 0 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 0 \n",
"otbnignneo 0 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 0 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 0 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 0 \n",
"othinfectns 0 \n",
"othliverdx 0 \n",
"othlowresp 0 \n",
"othmalegen 0 \n",
"othnervdx 0 \n",
"othskindx 0 \n",
"othveindx 0 \n",
"otinflskin 0 \n",
"otitismedia 0 \n",
"otjointdx 0 \n",
"otnutritdx 0 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 0 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 0 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 0 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 1 \n",
"whtblooddx 0 \n",
"n_edvisits 1 \n",
"n_admissions 0 \n",
"absolutelymphocytecount_last NaN \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last NaN \n",
"aniongap_last NaN \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last NaN \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last NaN \n",
"bun/creatratio_last NaN \n",
"calcium_last NaN \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last NaN \n",
"cktotal_last NaN \n",
"co2_last NaN \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last NaN \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last NaN \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last NaN \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last NaN \n",
"hemoglobin_last NaN \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last NaN \n",
"magnesium_last NaN \n",
"mch_last NaN \n",
"mchc_last NaN \n",
"mcv_last NaN \n",
"monocytes_last NaN \n",
"monosabs_last NaN \n",
"mpv_last NaN \n",
"neutrophils_last NaN \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last NaN \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last NaN \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last NaN \n",
"rbc/hpf_last NaN \n",
"rdw_last NaN \n",
"sodium_last NaN \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last NaN \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min NaN \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min NaN \n",
"albumin_min NaN \n",
"alkphos_min NaN \n",
"anc(absneutrophilcount)_min NaN \n",
"aniongap_min NaN \n",
"aspartateaminotransferase(ast)_min NaN \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min NaN \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min NaN \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min NaN \n",
"bun_min NaN \n",
"bun/creatratio_min NaN \n",
"calcium_min NaN \n",
"calculatedco2(poc)_min NaN \n",
"calculatedhco3(poc)i_min NaN \n",
"calculatedo2saturation(poc)_min NaN \n",
"chloride_min NaN \n",
"cktotal_min NaN \n",
"co2_min NaN \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min NaN \n",
"creatinine_min NaN \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min NaN \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min NaN \n",
"glucose,meter_min NaN \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min NaN \n",
"hemoglobin_min NaN \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min NaN \n",
"lipase_min NaN \n",
"lymphs_min NaN \n",
"magnesium_min NaN \n",
"mch_min NaN \n",
"mchc_min NaN \n",
"mcv_min NaN \n",
"monocytes_min NaN \n",
"monosabs_min NaN \n",
"mpv_min NaN \n",
"neutrophils_min NaN \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min NaN \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min NaN \n",
"po2(poc)_min NaN \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min NaN \n",
"poccreatinine_min NaN \n",
"pocglucose_min NaN \n",
"pochematocrit_min NaN \n",
"pocionizedcalcium_min NaN \n",
"pocph_min NaN \n",
"pocpotassium_min NaN \n",
"pocsodium_min NaN \n",
"poctroponini._min NaN \n",
"potassium_min NaN \n",
"proteintotal_min NaN \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min NaN \n",
"rbc/hpf_min NaN \n",
"rdw_min NaN \n",
"sodium_min NaN \n",
"troponini(poc)_min NaN \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min NaN \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max NaN \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max NaN \n",
"albumin_max NaN \n",
"alkphos_max NaN \n",
"anc(absneutrophilcount)_max NaN \n",
"aniongap_max NaN \n",
"aspartateaminotransferase(ast)_max NaN \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max NaN \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max NaN \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max NaN \n",
"bun_max NaN \n",
"bun/creatratio_max NaN \n",
"calcium_max NaN \n",
"calculatedco2(poc)_max NaN \n",
"calculatedhco3(poc)i_max NaN \n",
"calculatedo2saturation(poc)_max NaN \n",
"chloride_max NaN \n",
"cktotal_max NaN \n",
"co2_max NaN \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max NaN \n",
"creatinine_max NaN \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max NaN \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max NaN \n",
"glucose,meter_max NaN \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max NaN \n",
"hemoglobin_max NaN \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max NaN \n",
"lipase_max NaN \n",
"lymphs_max NaN \n",
"magnesium_max NaN \n",
"mch_max NaN \n",
"mchc_max NaN \n",
"mcv_max NaN \n",
"monocytes_max NaN \n",
"monosabs_max NaN \n",
"mpv_max NaN \n",
"neutrophils_max NaN \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max NaN \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max NaN \n",
"po2(poc)_max NaN \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max NaN \n",
"poccreatinine_max NaN \n",
"pocglucose_max NaN \n",
"pochematocrit_max NaN \n",
"pocionizedcalcium_max NaN \n",
"pocph_max NaN \n",
"pocpotassium_max NaN \n",
"pocsodium_max NaN \n",
"poctroponini._max NaN \n",
"potassium_max NaN \n",
"proteintotal_max NaN \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max NaN \n",
"rbc/hpf_max NaN \n",
"rdw_max NaN \n",
"sodium_max NaN \n",
"troponini(poc)_max NaN \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max NaN \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median NaN \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median NaN \n",
"albumin_median NaN \n",
"alkphos_median NaN \n",
"anc(absneutrophilcount)_median NaN \n",
"aniongap_median NaN \n",
"aspartateaminotransferase(ast)_median NaN \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median NaN \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median NaN \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median NaN \n",
"bun_median NaN \n",
"bun/creatratio_median NaN \n",
"calcium_median NaN \n",
"calculatedco2(poc)_median NaN \n",
"calculatedhco3(poc)i_median NaN \n",
"calculatedo2saturation(poc)_median NaN \n",
"chloride_median NaN \n",
"cktotal_median NaN \n",
"co2_median NaN \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median NaN \n",
"creatinine_median NaN \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median NaN \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median NaN \n",
"glucose,meter_median NaN \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median NaN \n",
"hemoglobin_median NaN \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median NaN \n",
"lipase_median NaN \n",
"lymphs_median NaN \n",
"magnesium_median NaN \n",
"mch_median NaN \n",
"mchc_median NaN \n",
"mcv_median NaN \n",
"monocytes_median NaN \n",
"monosabs_median NaN \n",
"mpv_median NaN \n",
"neutrophils_median NaN \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median NaN \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median NaN \n",
"po2(poc)_median NaN \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median NaN \n",
"poccreatinine_median NaN \n",
"pocglucose_median NaN \n",
"pochematocrit_median NaN \n",
"pocionizedcalcium_median NaN \n",
"pocph_median NaN \n",
"pocpotassium_median NaN \n",
"pocsodium_median NaN \n",
"poctroponini._median NaN \n",
"potassium_median NaN \n",
"proteintotal_median NaN \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median NaN \n",
"rbc/hpf_median NaN \n",
"rdw_median NaN \n",
"sodium_median NaN \n",
"troponini(poc)_median NaN \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median NaN \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 0 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 78 \n",
"triage_vital_sbp 134 \n",
"triage_vital_dbp 78 \n",
"triage_vital_rr 16 \n",
"triage_vital_o2 97 \n",
"triage_vital_o2_device NaN \n",
"triage_vital_temp 97.8 \n",
"pulse_last 83 \n",
"resp_last 16 \n",
"spo2_last NaN \n",
"temp_last 98 \n",
"sbp_last 125 \n",
"dbp_last 77 \n",
"o2_device_last 0 \n",
"pulse_min 83 \n",
"resp_min 16 \n",
"spo2_min NaN \n",
"temp_min 98 \n",
"sbp_min 125 \n",
"dbp_min 77 \n",
"o2_device_min 0 \n",
"pulse_max 83 \n",
"resp_max 16 \n",
"spo2_max NaN \n",
"temp_max 98 \n",
"sbp_max 125 \n",
"dbp_max 77 \n",
"o2_device_max 0 \n",
"pulse_median 83 \n",
"resp_median 16 \n",
"spo2_median NaN \n",
"temp_median 98 \n",
"sbp_median 125 \n",
"dbp_median 77 \n",
"o2_device_median 0 \n",
"cxr_count 0 \n",
"echo_count 0 \n",
"ekg_count 0 \n",
"headct_count 0 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 0 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 0 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 0 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 2 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 1 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 3 \\\n",
"dep_name A \n",
"esi 2 \n",
"age 66 \n",
"gender Male \n",
"ethnicity Hispanic or Latino \n",
"race Native Hawaiian or Other Pacific Islander \n",
"lang English \n",
"religion Pentecostal \n",
"maritalstatus Married \n",
"employstatus Not Employed \n",
"insurance_status Commercial \n",
"disposition Discharge \n",
"arrivalmode Car \n",
"arrivalmonth July \n",
"arrivalday Saturday \n",
"arrivalhour_bin 11-14 \n",
"previousdispo Discharge \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 0 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 0 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 0 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 0 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 0 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 0 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 0 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 1 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 0 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 1 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 0 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 1 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 0 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 0 \n",
"otbnignneo 0 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 0 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 0 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 0 \n",
"othinfectns 0 \n",
"othliverdx 0 \n",
"othlowresp 0 \n",
"othmalegen 0 \n",
"othnervdx 0 \n",
"othskindx 0 \n",
"othveindx 0 \n",
"otinflskin 0 \n",
"otitismedia 0 \n",
"otjointdx 0 \n",
"otnutritdx 0 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 0 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 0 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 0 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 1 \n",
"whtblooddx 0 \n",
"n_edvisits 2 \n",
"n_admissions 0 \n",
"absolutelymphocytecount_last 1.9 \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last 12 \n",
"albumin_last NaN \n",
"alkphos_last 71 \n",
"anc(absneutrophilcount)_last 9.2 \n",
"aniongap_last NaN \n",
"aspartateaminotransferase(ast)_last 19 \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last -1 \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last 2 \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last 0.1 \n",
"bilirubintotal_last 0.4 \n",
"bun_last NaN \n",
"bun/creatratio_last NaN \n",
"calcium_last NaN \n",
"calculatedco2(poc)_last 26 \n",
"calculatedhco3(poc)i_last 24.8 \n",
"calculatedo2saturation(poc)_last 50 \n",
"chloride_last NaN \n",
"cktotal_last NaN \n",
"co2_last NaN \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last 25 \n",
"creatinine_last NaN \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last 2 \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last NaN \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last 42.3 \n",
"hemoglobin_last 14.9 \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last 1 \n",
"lactate,poc_last 0.6 \n",
"lipase_last NaN \n",
"lymphs_last 16 \n",
"magnesium_last NaN \n",
"mch_last 31.1 \n",
"mchc_last 35.2 \n",
"mcv_last 88 \n",
"monocytes_last 5 \n",
"monosabs_last NaN \n",
"mpv_last 10.3 \n",
"neutrophils_last 76 \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last 44 \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last 238 \n",
"po2(poc)_last 28 \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last 10 \n",
"poccreatinine_last 1 \n",
"pocglucose_last 109 \n",
"pochematocrit_last 44 \n",
"pocionizedcalcium_last 4.5 \n",
"pocph_last 7.36 \n",
"pocpotassium_last 4.2 \n",
"pocsodium_last 136 \n",
"poctroponini._last NaN \n",
"potassium_last NaN \n",
"proteintotal_last NaN \n",
"prothrombintime_last 10.3 \n",
"ptt_last NaN \n",
"rbc_last 4.8 \n",
"rbc/hpf_last NaN \n",
"rdw_last 12.6 \n",
"sodium_last NaN \n",
"troponini(poc)_last 0 \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last 12.2 \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 1.9 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min 12 \n",
"albumin_min NaN \n",
"alkphos_min 71 \n",
"anc(absneutrophilcount)_min 9.2 \n",
"aniongap_min NaN \n",
"aspartateaminotransferase(ast)_min 19 \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min -1 \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 2 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min 0.1 \n",
"bilirubintotal_min 0.4 \n",
"bun_min NaN \n",
"bun/creatratio_min NaN \n",
"calcium_min NaN \n",
"calculatedco2(poc)_min 26 \n",
"calculatedhco3(poc)i_min 24.8 \n",
"calculatedo2saturation(poc)_min 50 \n",
"chloride_min NaN \n",
"cktotal_min NaN \n",
"co2_min NaN \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min 25 \n",
"creatinine_min NaN \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 2 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min NaN \n",
"glucose,meter_min NaN \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 42.3 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min 1 \n",
"lactate,poc_min 0.6 \n",
"lipase_min NaN \n",
"lymphs_min 16 \n",
"magnesium_min NaN \n",
"mch_min 31.1 \n",
"mchc_min 35.2 \n",
"mcv_min 88 \n",
"monocytes_min 5 \n",
"monosabs_min NaN \n",
"mpv_min 10.3 \n",
"neutrophils_min 76 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min 44 \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 238 \n",
"po2(poc)_min 28 \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 10 \n",
"poccreatinine_min 1 \n",
"pocglucose_min 109 \n",
"pochematocrit_min 44 \n",
"pocionizedcalcium_min 4.5 \n",
"pocph_min 7.36 \n",
"pocpotassium_min 4.2 \n",
"pocsodium_min 136 \n",
"poctroponini._min NaN \n",
"potassium_min NaN \n",
"proteintotal_min NaN \n",
"prothrombintime_min 10.3 \n",
"ptt_min NaN \n",
"rbc_min 4.8 \n",
"rbc/hpf_min NaN \n",
"rdw_min 12.6 \n",
"sodium_min NaN \n",
"troponini(poc)_min 0 \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min 12.2 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1.9 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max 12 \n",
"albumin_max NaN \n",
"alkphos_max 71 \n",
"anc(absneutrophilcount)_max 9.2 \n",
"aniongap_max NaN \n",
"aspartateaminotransferase(ast)_max 19 \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max -1 \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 2 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max 0.1 \n",
"bilirubintotal_max 0.4 \n",
"bun_max NaN \n",
"bun/creatratio_max NaN \n",
"calcium_max NaN \n",
"calculatedco2(poc)_max 26 \n",
"calculatedhco3(poc)i_max 24.8 \n",
"calculatedo2saturation(poc)_max 50 \n",
"chloride_max NaN \n",
"cktotal_max NaN \n",
"co2_max NaN \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max 25 \n",
"creatinine_max NaN \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 2 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max NaN \n",
"glucose,meter_max NaN \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 42.3 \n",
"hemoglobin_max 14.9 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max 1 \n",
"lactate,poc_max 0.6 \n",
"lipase_max NaN \n",
"lymphs_max 16 \n",
"magnesium_max NaN \n",
"mch_max 31.1 \n",
"mchc_max 35.2 \n",
"mcv_max 88 \n",
"monocytes_max 5 \n",
"monosabs_max NaN \n",
"mpv_max 10.3 \n",
"neutrophils_max 76 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max 44 \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 238 \n",
"po2(poc)_max 28 \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 10 \n",
"poccreatinine_max 1 \n",
"pocglucose_max 109 \n",
"pochematocrit_max 44 \n",
"pocionizedcalcium_max 4.5 \n",
"pocph_max 7.36 \n",
"pocpotassium_max 4.2 \n",
"pocsodium_max 136 \n",
"poctroponini._max NaN \n",
"potassium_max NaN \n",
"proteintotal_max NaN \n",
"prothrombintime_max 10.3 \n",
"ptt_max NaN \n",
"rbc_max 4.8 \n",
"rbc/hpf_max NaN \n",
"rdw_max 12.6 \n",
"sodium_max NaN \n",
"troponini(poc)_max 0 \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max 12.2 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 1.9 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median 12 \n",
"albumin_median NaN \n",
"alkphos_median 71 \n",
"anc(absneutrophilcount)_median 9.2 \n",
"aniongap_median NaN \n",
"aspartateaminotransferase(ast)_median 19 \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median -1 \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 2 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median 0.1 \n",
"bilirubintotal_median 0.4 \n",
"bun_median NaN \n",
"bun/creatratio_median NaN \n",
"calcium_median NaN \n",
"calculatedco2(poc)_median 26 \n",
"calculatedhco3(poc)i_median 24.8 \n",
"calculatedo2saturation(poc)_median 50 \n",
"chloride_median NaN \n",
"cktotal_median NaN \n",
"co2_median NaN \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median 25 \n",
"creatinine_median NaN \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 2 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median NaN \n",
"glucose,meter_median NaN \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 42.3 \n",
"hemoglobin_median 14.9 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median 1 \n",
"lactate,poc_median 0.6 \n",
"lipase_median NaN \n",
"lymphs_median 16 \n",
"magnesium_median NaN \n",
"mch_median 31.1 \n",
"mchc_median 35.2 \n",
"mcv_median 88 \n",
"monocytes_median 5 \n",
"monosabs_median NaN \n",
"mpv_median 10.3 \n",
"neutrophils_median 76 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median 44 \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 238 \n",
"po2(poc)_median 28 \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 10 \n",
"poccreatinine_median 1 \n",
"pocglucose_median 109 \n",
"pochematocrit_median 44 \n",
"pocionizedcalcium_median 4.5 \n",
"pocph_median 7.36 \n",
"pocpotassium_median 4.2 \n",
"pocsodium_median 136 \n",
"poctroponini._median NaN \n",
"potassium_median NaN \n",
"proteintotal_median NaN \n",
"prothrombintime_median 10.3 \n",
"ptt_median NaN \n",
"rbc_median 4.8 \n",
"rbc/hpf_median NaN \n",
"rdw_median 12.6 \n",
"sodium_median NaN \n",
"troponini(poc)_median 0 \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median 12.2 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 0 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 98 \n",
"triage_vital_sbp 171 \n",
"triage_vital_dbp 92 \n",
"triage_vital_rr 18 \n",
"triage_vital_o2 98 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp NaN \n",
"pulse_last 61 \n",
"resp_last 16 \n",
"spo2_last 98 \n",
"temp_last 97.6 \n",
"sbp_last 135 \n",
"dbp_last 83 \n",
"o2_device_last 0 \n",
"pulse_min 61 \n",
"resp_min 16 \n",
"spo2_min 97 \n",
"temp_min 97.6 \n",
"sbp_min 125 \n",
"dbp_min 67 \n",
"o2_device_min 0 \n",
"pulse_max 83 \n",
"resp_max 16 \n",
"spo2_max 98 \n",
"temp_max 98 \n",
"sbp_max 135 \n",
"dbp_max 83 \n",
"o2_device_max 0 \n",
"pulse_median 74.5 \n",
"resp_median 16 \n",
"spo2_median 98 \n",
"temp_median 97.85 \n",
"sbp_median 132.5 \n",
"dbp_median 77.5 \n",
"o2_device_median 0 \n",
"cxr_count 1 \n",
"echo_count 0 \n",
"ekg_count 1 \n",
"headct_count 1 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 0 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 0 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 0 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 2 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 1 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 4 \n",
"dep_name A \n",
"esi 3 \n",
"age 84 \n",
"gender Female \n",
"ethnicity Hispanic or Latino \n",
"race Other \n",
"lang Other \n",
"religion Pentecostal \n",
"maritalstatus Widowed \n",
"employstatus Retired \n",
"insurance_status Medicare \n",
"disposition Admit \n",
"arrivalmode Walk-in \n",
"arrivalmonth November \n",
"arrivalday Tuesday \n",
"arrivalhour_bin 07-10 \n",
"previousdispo Discharge \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 0 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 0 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 0 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 0 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 0 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 0 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 0 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 1 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 0 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 1 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 1 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 0 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 0 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 0 \n",
"otbnignneo 0 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 0 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 0 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 0 \n",
"othinfectns 0 \n",
"othliverdx 0 \n",
"othlowresp 0 \n",
"othmalegen 0 \n",
"othnervdx 0 \n",
"othskindx 0 \n",
"othveindx 0 \n",
"otinflskin 0 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 0 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 0 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 0 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 0 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 1 \n",
"n_admissions 0 \n",
"absolutelymphocytecount_last NaN \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last NaN \n",
"aniongap_last NaN \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last NaN \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last NaN \n",
"bun/creatratio_last NaN \n",
"calcium_last NaN \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last NaN \n",
"cktotal_last NaN \n",
"co2_last NaN \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last NaN \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last NaN \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last NaN \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last NaN \n",
"hemoglobin_last NaN \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last NaN \n",
"magnesium_last NaN \n",
"mch_last NaN \n",
"mchc_last NaN \n",
"mcv_last NaN \n",
"monocytes_last NaN \n",
"monosabs_last NaN \n",
"mpv_last NaN \n",
"neutrophils_last NaN \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last NaN \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last NaN \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last NaN \n",
"rbc/hpf_last NaN \n",
"rdw_last NaN \n",
"sodium_last NaN \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last NaN \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min NaN \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min NaN \n",
"albumin_min NaN \n",
"alkphos_min NaN \n",
"anc(absneutrophilcount)_min NaN \n",
"aniongap_min NaN \n",
"aspartateaminotransferase(ast)_min NaN \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min NaN \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min NaN \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min NaN \n",
"bun_min NaN \n",
"bun/creatratio_min NaN \n",
"calcium_min NaN \n",
"calculatedco2(poc)_min NaN \n",
"calculatedhco3(poc)i_min NaN \n",
"calculatedo2saturation(poc)_min NaN \n",
"chloride_min NaN \n",
"cktotal_min NaN \n",
"co2_min NaN \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min NaN \n",
"creatinine_min NaN \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min NaN \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min NaN \n",
"glucose,meter_min NaN \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min NaN \n",
"hemoglobin_min NaN \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min NaN \n",
"lipase_min NaN \n",
"lymphs_min NaN \n",
"magnesium_min NaN \n",
"mch_min NaN \n",
"mchc_min NaN \n",
"mcv_min NaN \n",
"monocytes_min NaN \n",
"monosabs_min NaN \n",
"mpv_min NaN \n",
"neutrophils_min NaN \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min NaN \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min NaN \n",
"po2(poc)_min NaN \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min NaN \n",
"poccreatinine_min NaN \n",
"pocglucose_min NaN \n",
"pochematocrit_min NaN \n",
"pocionizedcalcium_min NaN \n",
"pocph_min NaN \n",
"pocpotassium_min NaN \n",
"pocsodium_min NaN \n",
"poctroponini._min NaN \n",
"potassium_min NaN \n",
"proteintotal_min NaN \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min NaN \n",
"rbc/hpf_min NaN \n",
"rdw_min NaN \n",
"sodium_min NaN \n",
"troponini(poc)_min NaN \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min NaN \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max NaN \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max NaN \n",
"albumin_max NaN \n",
"alkphos_max NaN \n",
"anc(absneutrophilcount)_max NaN \n",
"aniongap_max NaN \n",
"aspartateaminotransferase(ast)_max NaN \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max NaN \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max NaN \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max NaN \n",
"bun_max NaN \n",
"bun/creatratio_max NaN \n",
"calcium_max NaN \n",
"calculatedco2(poc)_max NaN \n",
"calculatedhco3(poc)i_max NaN \n",
"calculatedo2saturation(poc)_max NaN \n",
"chloride_max NaN \n",
"cktotal_max NaN \n",
"co2_max NaN \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max NaN \n",
"creatinine_max NaN \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max NaN \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max NaN \n",
"glucose,meter_max NaN \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max NaN \n",
"hemoglobin_max NaN \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max NaN \n",
"lipase_max NaN \n",
"lymphs_max NaN \n",
"magnesium_max NaN \n",
"mch_max NaN \n",
"mchc_max NaN \n",
"mcv_max NaN \n",
"monocytes_max NaN \n",
"monosabs_max NaN \n",
"mpv_max NaN \n",
"neutrophils_max NaN \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max NaN \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max NaN \n",
"po2(poc)_max NaN \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max NaN \n",
"poccreatinine_max NaN \n",
"pocglucose_max NaN \n",
"pochematocrit_max NaN \n",
"pocionizedcalcium_max NaN \n",
"pocph_max NaN \n",
"pocpotassium_max NaN \n",
"pocsodium_max NaN \n",
"poctroponini._max NaN \n",
"potassium_max NaN \n",
"proteintotal_max NaN \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max NaN \n",
"rbc/hpf_max NaN \n",
"rdw_max NaN \n",
"sodium_max NaN \n",
"troponini(poc)_max NaN \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max NaN \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median NaN \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median NaN \n",
"albumin_median NaN \n",
"alkphos_median NaN \n",
"anc(absneutrophilcount)_median NaN \n",
"aniongap_median NaN \n",
"aspartateaminotransferase(ast)_median NaN \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median NaN \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median NaN \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median NaN \n",
"bun_median NaN \n",
"bun/creatratio_median NaN \n",
"calcium_median NaN \n",
"calculatedco2(poc)_median NaN \n",
"calculatedhco3(poc)i_median NaN \n",
"calculatedo2saturation(poc)_median NaN \n",
"chloride_median NaN \n",
"cktotal_median NaN \n",
"co2_median NaN \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median NaN \n",
"creatinine_median NaN \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median NaN \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median NaN \n",
"glucose,meter_median NaN \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median NaN \n",
"hemoglobin_median NaN \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median NaN \n",
"lipase_median NaN \n",
"lymphs_median NaN \n",
"magnesium_median NaN \n",
"mch_median NaN \n",
"mchc_median NaN \n",
"mcv_median NaN \n",
"monocytes_median NaN \n",
"monosabs_median NaN \n",
"mpv_median NaN \n",
"neutrophils_median NaN \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median NaN \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median NaN \n",
"po2(poc)_median NaN \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median NaN \n",
"poccreatinine_median NaN \n",
"pocglucose_median NaN \n",
"pochematocrit_median NaN \n",
"pocionizedcalcium_median NaN \n",
"pocph_median NaN \n",
"pocpotassium_median NaN \n",
"pocsodium_median NaN \n",
"poctroponini._median NaN \n",
"potassium_median NaN \n",
"proteintotal_median NaN \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median NaN \n",
"rbc/hpf_median NaN \n",
"rdw_median NaN \n",
"sodium_median NaN \n",
"troponini(poc)_median NaN \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median NaN \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 0 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 101 \n",
"triage_vital_sbp 133 \n",
"triage_vital_dbp 72 \n",
"triage_vital_rr 18 \n",
"triage_vital_o2 97 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 98.4 \n",
"pulse_last 75 \n",
"resp_last 18 \n",
"spo2_last 97 \n",
"temp_last 98 \n",
"sbp_last 140 \n",
"dbp_last 58 \n",
"o2_device_last 0 \n",
"pulse_min 70 \n",
"resp_min 18 \n",
"spo2_min 97 \n",
"temp_min 98 \n",
"sbp_min 96 \n",
"dbp_min 58 \n",
"o2_device_min 0 \n",
"pulse_max 76 \n",
"resp_max 18 \n",
"spo2_max 98 \n",
"temp_max 98.4 \n",
"sbp_max 140 \n",
"dbp_max 76 \n",
"o2_device_max 0 \n",
"pulse_median 75 \n",
"resp_median 18 \n",
"spo2_median 97 \n",
"temp_median 98.2 \n",
"sbp_median 132 \n",
"dbp_median 70 \n",
"o2_device_median 0 \n",
"cxr_count 0 \n",
"echo_count 0 \n",
"ekg_count 0 \n",
"headct_count 0 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 1 \n",
"otherxr_count 0 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 1 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 1 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 2 \n",
"meds_cnsdrugs 1 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 1 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 2 \n",
"meds_gastrointestinal 2 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 1 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 1 \n",
"n_surgeries 5 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 1 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 "
]
},
"metadata": {
"tags": []
},
"execution_count": 11
}
]
},
{
"cell_type": "code",
"metadata": {
"colab_type": "code",
"outputId": "a3f8351c-dd58-41c1-c75b-1c12766a37be",
"id": "IJD2bk0lYhEw",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
}
},
"source": [
"data['df'].tail(5).transpose()\n"
],
"execution_count": 0,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 560481 | \n",
" 560482 | \n",
" 560483 | \n",
" 560484 | \n",
" 560485 | \n",
"
\n",
" \n",
" \n",
" \n",
" dep_name | \n",
" A | \n",
" A | \n",
" A | \n",
" A | \n",
" A | \n",
"
\n",
" \n",
" esi | \n",
" 2 | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
"
\n",
" \n",
" age | \n",
" 49 | \n",
" 50 | \n",
" 50 | \n",
" 50 | \n",
" 50 | \n",
"
\n",
" \n",
" gender | \n",
" Male | \n",
" Male | \n",
" Male | \n",
" Male | \n",
" Male | \n",
"
\n",
" \n",
" ethnicity | \n",
" Non-Hispanic | \n",
" Non-Hispanic | \n",
" Non-Hispanic | \n",
" Non-Hispanic | \n",
" Non-Hispanic | \n",
"
\n",
" \n",
" race | \n",
" White or Caucasian | \n",
" White or Caucasian | \n",
" White or Caucasian | \n",
" White or Caucasian | \n",
" White or Caucasian | \n",
"
\n",
" \n",
" lang | \n",
" English | \n",
" English | \n",
" English | \n",
" English | \n",
" English | \n",
"
\n",
" \n",
" religion | \n",
" Episcopal | \n",
" Episcopal | \n",
" Episcopal | \n",
" Episcopal | \n",
" Episcopal | \n",
"
\n",
" \n",
" maritalstatus | \n",
" Single | \n",
" Single | \n",
" Single | \n",
" Single | \n",
" Single | \n",
"
\n",
" \n",
" employstatus | \n",
" Disabled | \n",
" Disabled | \n",
" Disabled | \n",
" Disabled | \n",
" Disabled | \n",
"
\n",
" \n",
" insurance_status | \n",
" Medicare | \n",
" Medicare | \n",
" Medicare | \n",
" Medicare | \n",
" Medicare | \n",
"
\n",
" \n",
" disposition | \n",
" Admit | \n",
" Admit | \n",
" Discharge | \n",
" Admit | \n",
" Admit | \n",
"
\n",
" \n",
" arrivalmode | \n",
" ambulance | \n",
" ambulance | \n",
" ambulance | \n",
" ambulance | \n",
" ambulance | \n",
"
\n",
" \n",
" arrivalmonth | \n",
" December | \n",
" March | \n",
" March | \n",
" April | \n",
" May | \n",
"
\n",
" \n",
" arrivalday | \n",
" Thursday | \n",
" Thursday | \n",
" Wednesday | \n",
" Friday | \n",
" Thursday | \n",
"
\n",
" \n",
" arrivalhour_bin | \n",
" 15-18 | \n",
" 19-22 | \n",
" 11-14 | \n",
" 19-22 | \n",
" 19-22 | \n",
"
\n",
" \n",
" previousdispo | \n",
" Admit | \n",
" Admit | \n",
" Admit | \n",
" Discharge | \n",
" Admit | \n",
"
\n",
" \n",
" 2ndarymalig | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abdomhernia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abdomnlpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" abortcompl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acqfootdef | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acrenlfail | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutecvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutemi | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" acutphanm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" adjustmentdisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" adltrespfl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" alcoholrelateddisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" allergy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" amniosdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" analrectal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" anemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" aneurysm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" anxietydisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" appendicitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" artembolism | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" asppneumon | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" asthma | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" attentiondeficitconductdisruptivebeha | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" backproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" biliarydx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" birthasphyx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" birthtrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bladdercncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" blindness | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" bnignutneo | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bonectcncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bph | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" brainnscan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" breastcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" breastdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" brnchlngca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bronchitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" burns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cardiaarrst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cardiacanom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" carditis | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" cataract | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cervixcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" chestpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" chfnonhp | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" chrkidneydisease | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coaghemrdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coloncancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" comabrndmg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" complicdevi | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" complicproc | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" conduction | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" contraceptiv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" copd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" coronathero | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" crushinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cysticfibro | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" deliriumdementiaamnesticothercognitiv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" developmentaldisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" diabmelnoc | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" diabmelwcm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" disordersusuallydiagnosedininfancych | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" diverticulos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dizziness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dminpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" dysrhythmia | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" earlylabor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesadverseeffectsofmedicalcare | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesadverseeffectsofmedicaldrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodescutpierce | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesdrowningsubmersion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfall | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfirearm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesfireburn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesmachinery | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesmotorvehicletrafficmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesnaturalenvironment | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesotherspecifiedandclassifiable | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesotherspecifiednec | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodespedalcyclistnotmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesplaceofoccurrence | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodespoisoning | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesstruckbyagainst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodessuffocation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodestransportnotmvt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ecodesunspecified | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ectopicpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" encephalitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" endometrios | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" epilepsycnv | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" esophcancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" esophgealdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" exameval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" eyeinfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fatigue | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" femgenitca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" feminfertil | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fetaldistrs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fluidelcdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fuo | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxarm | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxhip | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxleg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" fxskullfac | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gangrene | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gasduoulcer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gastritis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gastroent | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" giconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" gihemorrhag | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" giperitcan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glaucoma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" goutotcrys | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" guconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hdnckcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" headachemig | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hemmorhoids | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hemorrpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hepatitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hivinfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hodgkinsds | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hrtvalvedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" htn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" htncomplicn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" htninpreg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" hyperlipidem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" immunitydx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" immunizscrn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" impulsecontroldisordersnec | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" inducabortn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" infectarth | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" influenza | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" infmalegen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intestinfct | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intobstruct | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" intracrninj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" jointinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" kidnyrnlca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lateeffcvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukemias | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" liveborn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" liveribdca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" longpregncy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lowbirthwt | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lungexternl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" lymphenlarg | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maintchemr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" malgenitca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" maligneopls | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" malposition | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meningitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" menopausldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" menstrualdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" miscellaneousmentalhealthdisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mooddisorders | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" mouthdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" multmyeloma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" mycoses | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nauseavomit | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" neoplsmunsp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nephritis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nervcongan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nonepithca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nonhodglym | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nutritdefic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" obrelatedperintrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" opnwndextr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" opnwndhead | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" osteoarthros | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" osteoporosis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otacqdefor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otaftercare | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otbnignneo | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otbonedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otcirculdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otcomplbir | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otconganom | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otconntiss | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxbladdr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxkidney | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otdxstomch | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otendodsor | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otfemalgen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othbactinf | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othcnsinfx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othematldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othercvd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othereardx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otheredcns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othereyedx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othergidx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othergudx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherpregnancyanddeliveryincludingnormal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherscreen | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othfracture | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othheartdx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othinfectns | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" othliverdx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othlowresp | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othmalegen | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othnervdx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othskindx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" othveindx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otinflskin | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otitismedia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otjointdx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otnutritdx | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otperintdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otpregcomp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otprimryca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otrespirca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otupprresp | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otuprspin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ovariancyst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ovarycancer | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pancreascan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pancreasdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" paralysis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" parkinsons | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pathologfx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pelvicobstr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" perintjaund | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" peripathero | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" peritonitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" personalitydisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" phlebitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pid | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pleurisy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pneumonia | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" poisnnonmed | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" poisnotmed | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" poisonpsych | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" precereoccl | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prevcsectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prolapse | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" prostatecan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulmhartdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rctmanusca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rehab | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" respdistres | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" retinaldx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" rheumarth | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" schizophreniaandotherpsychoticdisorde | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" screeningandhistoryofmentalhealthan | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" septicemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" septicemiaexceptinlabor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sexualinfxs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" shock | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sicklecell | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" skininfectn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" skinmelanom | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" sle | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" socialadmin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" spincorinj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" spontabortn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" sprain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" stomchcancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" substancerelateddisorders | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" suicideandintentionalselfinflictedin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" superficinj | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" syncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" teethdx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" testiscancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" thyroidcncr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" thyroiddsor | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tonsillitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" tuberculosis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ulceratcol | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ulcerskin | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" umbilcord | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" unclassified | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" urinstone | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urinyorgca | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" uteruscancr | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" uti | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" varicosevn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" viralinfect | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" whtblooddx | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" n_edvisits | \n",
" 4 | \n",
" 5 | \n",
" 6 | \n",
" 7 | \n",
" 7 | \n",
"
\n",
" \n",
" n_admissions | \n",
" 2 | \n",
" 3 | \n",
" 4 | \n",
" 4 | \n",
" 4 | \n",
"
\n",
" \n",
" absolutelymphocytecount_last | \n",
" 0.5 | \n",
" 0.6 | \n",
" 0.8 | \n",
" 0.7 | \n",
" NaN | \n",
"
\n",
" \n",
" acetonebld_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_last | \n",
" NaN | \n",
" 52 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" albumin_last | \n",
" NaN | \n",
" 3.3 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alkphos_last | \n",
" NaN | \n",
" 210 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_last | \n",
" 5.9 | \n",
" 2.6 | \n",
" 3 | \n",
" 2 | \n",
" NaN | \n",
"
\n",
" \n",
" aniongap_last | \n",
" 13 | \n",
" 15 | \n",
" 15 | \n",
" 10 | \n",
" 12 | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_last | \n",
" NaN | \n",
" 54 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_last | \n",
" NaN | \n",
" 12 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" basosabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_last | \n",
" NaN | \n",
" 1.02 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bun_last | \n",
" 11 | \n",
" 12 | \n",
" 15 | \n",
" 14 | \n",
" 12 | \n",
"
\n",
" \n",
" bun/creatratio_last | \n",
" 18.3 | \n",
" 20 | \n",
" 21.4 | \n",
" 23.3 | \n",
" 20 | \n",
"
\n",
" \n",
" calcium_last | \n",
" 8.9 | \n",
" 9.1 | \n",
" 9.1 | \n",
" 9.4 | \n",
" 9.3 | \n",
"
\n",
" \n",
" calculatedco2(poc)_last | \n",
" NaN | \n",
" 38 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_last | \n",
" NaN | \n",
" 36.5 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_last | \n",
" NaN | \n",
" 66 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" chloride_last | \n",
" 98 | \n",
" 101 | \n",
" 101 | \n",
" 102 | \n",
" 103 | \n",
"
\n",
" \n",
" cktotal_last | \n",
" NaN | \n",
" NaN | \n",
" 265 | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2_last | \n",
" 29 | \n",
" 25.5 | \n",
" 28.2 | \n",
" 31.7 | \n",
" 28.5 | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_last | \n",
" NaN | \n",
" 33 | \n",
" NaN | \n",
" NaN | \n",
" 34 | \n",
"
\n",
" \n",
" creatinine_last | \n",
" 0.6 | \n",
" 0.6 | \n",
" 0.7 | \n",
" 0.6 | \n",
" 0.6 | \n",
"
\n",
" \n",
" d-dimer_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_last | \n",
" 1 | \n",
" 3 | \n",
" 2 | \n",
" 4 | \n",
" NaN | \n",
"
\n",
" \n",
" eosinoabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_last | \n",
" NaN | \n",
" 3.9 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" glucose_last | \n",
" 99 | \n",
" 125 | \n",
" 168 | \n",
" 145 | \n",
" 130 | \n",
"
\n",
" \n",
" glucose,meter_last | \n",
" NaN | \n",
" NaN | \n",
" 172 | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_last | \n",
" 45.9 | \n",
" 50.7 | \n",
" 51.2 | \n",
" 53 | \n",
" NaN | \n",
"
\n",
" \n",
" hemoglobin_last | \n",
" 14.9 | \n",
" 16.1 | \n",
" 17 | \n",
" 17.1 | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegrans(abs)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_last | \n",
" NaN | \n",
" NaN | \n",
" 1.06 | \n",
" 0.98 | \n",
" NaN | \n",
"
\n",
" \n",
" lactate,poc_last | \n",
" NaN | \n",
" 1 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lipase_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_last | \n",
" 7 | \n",
" 16 | \n",
" 19 | \n",
" 24 | \n",
" NaN | \n",
"
\n",
" \n",
" magnesium_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_last | \n",
" 28.7 | \n",
" 28 | \n",
" 30.3 | \n",
" 29.7 | \n",
" NaN | \n",
"
\n",
" \n",
" mchc_last | \n",
" 32.6 | \n",
" 31.8 | \n",
" 33.3 | \n",
" 32.3 | \n",
" NaN | \n",
"
\n",
" \n",
" mcv_last | \n",
" 88 | \n",
" 88 | \n",
" 91 | \n",
" 92 | \n",
" NaN | \n",
"
\n",
" \n",
" monocytes_last | \n",
" 4 | \n",
" 5 | \n",
" 6 | \n",
" 7 | \n",
" NaN | \n",
"
\n",
" \n",
" monosabs_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_last | \n",
" 9.7 | \n",
" 9.2 | \n",
" 10.8 | \n",
" 10.4 | \n",
" NaN | \n",
"
\n",
" \n",
" neutrophils_last | \n",
" 88 | \n",
" 76 | \n",
" 74 | \n",
" 66 | \n",
" NaN | \n",
"
\n",
" \n",
" nrbc_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_last | \n",
" NaN | \n",
" 53 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_last | \n",
" 94 | \n",
" 116 | \n",
" 70 | \n",
" 68 | \n",
" NaN | \n",
"
\n",
" \n",
" po2(poc)_last | \n",
" NaN | \n",
" 34 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" po2,venous(poc)_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_last | \n",
" NaN | \n",
" 14 | \n",
" NaN | \n",
" NaN | \n",
" 14 | \n",
"
\n",
" \n",
" poccreatinine_last | \n",
" NaN | \n",
" 0.7 | \n",
" NaN | \n",
" NaN | \n",
" 0.8 | \n",
"
\n",
" \n",
" pocglucose_last | \n",
" NaN | \n",
" 129 | \n",
" 177 | \n",
" NaN | \n",
" 94 | \n",
"
\n",
" \n",
" pochematocrit_last | \n",
" NaN | \n",
" 55 | \n",
" NaN | \n",
" NaN | \n",
" 52 | \n",
"
\n",
" \n",
" pocionizedcalcium_last | \n",
" NaN | \n",
" 3.9 | \n",
" NaN | \n",
" NaN | \n",
" 4.8 | \n",
"
\n",
" \n",
" pocph_last | \n",
" NaN | \n",
" 7.45 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocpotassium_last | \n",
" NaN | \n",
" 6.8 | \n",
" NaN | \n",
" NaN | \n",
" 4.2 | \n",
"
\n",
" \n",
" pocsodium_last | \n",
" NaN | \n",
" 139 | \n",
" NaN | \n",
" NaN | \n",
" 143 | \n",
"
\n",
" \n",
" poctroponini._last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_last | \n",
" 4.3 | \n",
" 4.9 | \n",
" 4.6 | \n",
" 4.6 | \n",
" 4.8 | \n",
"
\n",
" \n",
" proteintotal_last | \n",
" NaN | \n",
" 7.2 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" prothrombintime_last | \n",
" NaN | \n",
" NaN | \n",
" 11.7 | \n",
" 10.9 | \n",
" NaN | \n",
"
\n",
" \n",
" ptt_last | \n",
" NaN | \n",
" NaN | \n",
" 23.6 | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rbc_last | \n",
" 5.2 | \n",
" 5.8 | \n",
" 5.6 | \n",
" 5.8 | \n",
" NaN | \n",
"
\n",
" \n",
" rbc/hpf_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_last | \n",
" 17.4 | \n",
" 17.6 | \n",
" 17 | \n",
" 16.6 | \n",
" NaN | \n",
"
\n",
" \n",
" sodium_last | \n",
" 140 | \n",
" 141 | \n",
" 144 | \n",
" 144 | \n",
" 143 | \n",
"
\n",
" \n",
" troponini(poc)_last | \n",
" 0.06 | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" troponint_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_last | \n",
" 6.8 | \n",
" 3.4 | \n",
" 4.1 | \n",
" 3 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc/hpf_last | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_min | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.5 | \n",
"
\n",
" \n",
" acetonebld_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_min | \n",
" NaN | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
"
\n",
" \n",
" albumin_min | \n",
" NaN | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
"
\n",
" \n",
" alkphos_min | \n",
" NaN | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_min | \n",
" 3.7 | \n",
" 2.6 | \n",
" 2.6 | \n",
" 2 | \n",
" 2 | \n",
"
\n",
" \n",
" aniongap_min | \n",
" 11 | \n",
" 11 | \n",
" 11 | \n",
" 10 | \n",
" 10 | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_min | \n",
" NaN | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_min | \n",
" NaN | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_min | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" basosabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_min | \n",
" NaN | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
"
\n",
" \n",
" bun_min | \n",
" 11 | \n",
" 11 | \n",
" 11 | \n",
" 11 | \n",
" 11 | \n",
"
\n",
" \n",
" bun/creatratio_min | \n",
" 18.3 | \n",
" 18.3 | \n",
" 18.3 | \n",
" 18.3 | \n",
" 18.3 | \n",
"
\n",
" \n",
" calcium_min | \n",
" 8.8 | \n",
" 8.8 | \n",
" 8.8 | \n",
" 8.8 | \n",
" 8.9 | \n",
"
\n",
" \n",
" calculatedco2(poc)_min | \n",
" 35 | \n",
" 35 | \n",
" 35 | \n",
" 35 | \n",
" 38 | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_min | \n",
" NaN | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_min | \n",
" NaN | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
"
\n",
" \n",
" chloride_min | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
"
\n",
" \n",
" cktotal_min | \n",
" NaN | \n",
" NaN | \n",
" 265 | \n",
" 265 | \n",
" 265 | \n",
"
\n",
" \n",
" co2_min | \n",
" 24.1 | \n",
" 24.1 | \n",
" 24.1 | \n",
" 24.1 | \n",
" 24.1 | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_min | \n",
" NaN | \n",
" 33 | \n",
" 33 | \n",
" 33 | \n",
" 33 | \n",
"
\n",
" \n",
" creatinine_min | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.5 | \n",
" 0.6 | \n",
"
\n",
" \n",
" d-dimer_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_min | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" eosinoabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_min | \n",
" NaN | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
"
\n",
" \n",
" glucose_min | \n",
" 95 | \n",
" 95 | \n",
" 95 | \n",
" 95 | \n",
" 99 | \n",
"
\n",
" \n",
" glucose,meter_min | \n",
" 186 | \n",
" 186 | \n",
" 172 | \n",
" 172 | \n",
" 172 | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_min | \n",
" 45.9 | \n",
" 45.9 | \n",
" 45.9 | \n",
" 45.9 | \n",
" 45.9 | \n",
"
\n",
" \n",
" hemoglobin_min | \n",
" 14.9 | \n",
" 14.9 | \n",
" 14.9 | \n",
" 14.9 | \n",
" 14.9 | \n",
"
\n",
" \n",
" immaturegrans(abs)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_min | \n",
" NaN | \n",
" NaN | \n",
" 1.06 | \n",
" 0.98 | \n",
" 0.98 | \n",
"
\n",
" \n",
" lactate,poc_min | \n",
" NaN | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" lipase_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_min | \n",
" 7 | \n",
" 7 | \n",
" 7 | \n",
" 7 | \n",
" 7 | \n",
"
\n",
" \n",
" magnesium_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_min | \n",
" 27.9 | \n",
" 27.9 | \n",
" 27.9 | \n",
" 27.9 | \n",
" 27.9 | \n",
"
\n",
" \n",
" mchc_min | \n",
" 31.6 | \n",
" 31.6 | \n",
" 31.6 | \n",
" 31.6 | \n",
" 31.8 | \n",
"
\n",
" \n",
" mcv_min | \n",
" 87 | \n",
" 87 | \n",
" 87 | \n",
" 87 | \n",
" 87 | \n",
"
\n",
" \n",
" monocytes_min | \n",
" 4 | \n",
" 4 | \n",
" 4 | \n",
" 4 | \n",
" 4 | \n",
"
\n",
" \n",
" monosabs_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_min | \n",
" 9.7 | \n",
" 9.2 | \n",
" 9.2 | \n",
" 9.2 | \n",
" 9.2 | \n",
"
\n",
" \n",
" neutrophils_min | \n",
" 74 | \n",
" 74 | \n",
" 74 | \n",
" 66 | \n",
" 66 | \n",
"
\n",
" \n",
" nrbc_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_min | \n",
" NaN | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
"
\n",
" \n",
" pco2,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_min | \n",
" 89 | \n",
" 89 | \n",
" 70 | \n",
" 68 | \n",
" 68 | \n",
"
\n",
" \n",
" po2(poc)_min | \n",
" NaN | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
"
\n",
" \n",
" po2,venous(poc)_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_min | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
" 14 | \n",
"
\n",
" \n",
" poccreatinine_min | \n",
" 0.8 | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.7 | \n",
"
\n",
" \n",
" pocglucose_min | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
" 94 | \n",
"
\n",
" \n",
" pochematocrit_min | \n",
" 59 | \n",
" 55 | \n",
" 55 | \n",
" 55 | \n",
" 52 | \n",
"
\n",
" \n",
" pocionizedcalcium_min | \n",
" 4.5 | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
"
\n",
" \n",
" pocph_min | \n",
" NaN | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
"
\n",
" \n",
" pocpotassium_min | \n",
" 2.6 | \n",
" 2.6 | \n",
" 2.6 | \n",
" 2.6 | \n",
" 4.2 | \n",
"
\n",
" \n",
" pocsodium_min | \n",
" 143 | \n",
" 139 | \n",
" 139 | \n",
" 139 | \n",
" 139 | \n",
"
\n",
" \n",
" poctroponini._min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_min | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
" 4.3 | \n",
"
\n",
" \n",
" proteintotal_min | \n",
" NaN | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
"
\n",
" \n",
" prothrombintime_min | \n",
" NaN | \n",
" NaN | \n",
" 11.7 | \n",
" 10.9 | \n",
" 10.9 | \n",
"
\n",
" \n",
" ptt_min | \n",
" NaN | \n",
" NaN | \n",
" 23.6 | \n",
" 23.6 | \n",
" 23.6 | \n",
"
\n",
" \n",
" rbc_min | \n",
" 5.2 | \n",
" 5.2 | \n",
" 5.2 | \n",
" 5.2 | \n",
" 5.2 | \n",
"
\n",
" \n",
" rbc/hpf_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_min | \n",
" 16.2 | \n",
" 16.2 | \n",
" 16.2 | \n",
" 16.2 | \n",
" 16.3 | \n",
"
\n",
" \n",
" sodium_min | \n",
" 137 | \n",
" 137 | \n",
" 137 | \n",
" 137 | \n",
" 138 | \n",
"
\n",
" \n",
" troponini(poc)_min | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
"
\n",
" \n",
" troponint_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_min | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_min | \n",
" 4.8 | \n",
" 3.4 | \n",
" 3.4 | \n",
" 3 | \n",
" 3 | \n",
"
\n",
" \n",
" wbc/hpf_min | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_max | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" acetonebld_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_max | \n",
" NaN | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
"
\n",
" \n",
" albumin_max | \n",
" NaN | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
"
\n",
" \n",
" alkphos_max | \n",
" NaN | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_max | \n",
" 5.9 | \n",
" 5.9 | \n",
" 5.9 | \n",
" 5.9 | \n",
" 5.9 | \n",
"
\n",
" \n",
" aniongap_max | \n",
" 13 | \n",
" 15 | \n",
" 15 | \n",
" 15 | \n",
" 15 | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_max | \n",
" NaN | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_max | \n",
" NaN | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_max | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" basosabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_max | \n",
" NaN | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
"
\n",
" \n",
" bun_max | \n",
" 17 | \n",
" 17 | \n",
" 17 | \n",
" 17 | \n",
" 17 | \n",
"
\n",
" \n",
" bun/creatratio_max | \n",
" 24.3 | \n",
" 24.3 | \n",
" 24.3 | \n",
" 24.3 | \n",
" 24.3 | \n",
"
\n",
" \n",
" calcium_max | \n",
" 9.6 | \n",
" 9.6 | \n",
" 9.6 | \n",
" 9.6 | \n",
" 9.6 | \n",
"
\n",
" \n",
" calculatedco2(poc)_max | \n",
" 35 | \n",
" 38 | \n",
" 38 | \n",
" 38 | \n",
" 38 | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_max | \n",
" NaN | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_max | \n",
" NaN | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
"
\n",
" \n",
" chloride_max | \n",
" 101 | \n",
" 101 | \n",
" 101 | \n",
" 102 | \n",
" 103 | \n",
"
\n",
" \n",
" cktotal_max | \n",
" NaN | \n",
" NaN | \n",
" 265 | \n",
" 265 | \n",
" 265 | \n",
"
\n",
" \n",
" co2_max | \n",
" 35 | \n",
" 35 | \n",
" 35 | \n",
" 35 | \n",
" 31.7 | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_max | \n",
" NaN | \n",
" 33 | \n",
" 33 | \n",
" 33 | \n",
" 34 | \n",
"
\n",
" \n",
" creatinine_max | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.7 | \n",
"
\n",
" \n",
" d-dimer_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_max | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
" 4 | \n",
" 4 | \n",
"
\n",
" \n",
" eosinoabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_max | \n",
" NaN | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
"
\n",
" \n",
" glucose_max | \n",
" 136 | \n",
" 136 | \n",
" 168 | \n",
" 168 | \n",
" 168 | \n",
"
\n",
" \n",
" glucose,meter_max | \n",
" 186 | \n",
" 186 | \n",
" 186 | \n",
" 186 | \n",
" 186 | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_max | \n",
" 58 | \n",
" 58 | \n",
" 58 | \n",
" 58 | \n",
" 58 | \n",
"
\n",
" \n",
" hemoglobin_max | \n",
" 18.5 | \n",
" 18.5 | \n",
" 18.5 | \n",
" 18.5 | \n",
" 18.5 | \n",
"
\n",
" \n",
" immaturegrans(abs)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_max | \n",
" NaN | \n",
" NaN | \n",
" 1.06 | \n",
" 1.06 | \n",
" 1.06 | \n",
"
\n",
" \n",
" lactate,poc_max | \n",
" NaN | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" lipase_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_max | \n",
" 20 | \n",
" 20 | \n",
" 20 | \n",
" 24 | \n",
" 24 | \n",
"
\n",
" \n",
" magnesium_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_max | \n",
" 28.7 | \n",
" 28.7 | \n",
" 30.3 | \n",
" 30.3 | \n",
" 30.3 | \n",
"
\n",
" \n",
" mchc_max | \n",
" 32.6 | \n",
" 32.6 | \n",
" 33.3 | \n",
" 33.3 | \n",
" 33.3 | \n",
"
\n",
" \n",
" mcv_max | \n",
" 89 | \n",
" 89 | \n",
" 91 | \n",
" 92 | \n",
" 92 | \n",
"
\n",
" \n",
" monocytes_max | \n",
" 5 | \n",
" 5 | \n",
" 6 | \n",
" 7 | \n",
" 7 | \n",
"
\n",
" \n",
" monosabs_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_max | \n",
" 11.1 | \n",
" 11.1 | \n",
" 11.1 | \n",
" 11.1 | \n",
" 11.1 | \n",
"
\n",
" \n",
" neutrophils_max | \n",
" 88 | \n",
" 88 | \n",
" 88 | \n",
" 88 | \n",
" 88 | \n",
"
\n",
" \n",
" nrbc_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_max | \n",
" NaN | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
"
\n",
" \n",
" pco2,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_max | \n",
" 95 | \n",
" 116 | \n",
" 116 | \n",
" 116 | \n",
" 116 | \n",
"
\n",
" \n",
" po2(poc)_max | \n",
" NaN | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
"
\n",
" \n",
" po2,venous(poc)_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_max | \n",
" 12 | \n",
" 14 | \n",
" 14 | \n",
" 14 | \n",
" 14 | \n",
"
\n",
" \n",
" poccreatinine_max | \n",
" 0.8 | \n",
" 0.8 | \n",
" 0.8 | \n",
" 0.8 | \n",
" 0.8 | \n",
"
\n",
" \n",
" pocglucose_max | \n",
" 136 | \n",
" 136 | \n",
" 177 | \n",
" 177 | \n",
" 177 | \n",
"
\n",
" \n",
" pochematocrit_max | \n",
" 59 | \n",
" 59 | \n",
" 59 | \n",
" 59 | \n",
" 55 | \n",
"
\n",
" \n",
" pocionizedcalcium_max | \n",
" 4.5 | \n",
" 4.5 | \n",
" 4.5 | \n",
" 4.5 | \n",
" 4.8 | \n",
"
\n",
" \n",
" pocph_max | \n",
" NaN | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
"
\n",
" \n",
" pocpotassium_max | \n",
" 2.6 | \n",
" 6.8 | \n",
" 6.8 | \n",
" 6.8 | \n",
" 6.8 | \n",
"
\n",
" \n",
" pocsodium_max | \n",
" 143 | \n",
" 143 | \n",
" 143 | \n",
" 143 | \n",
" 143 | \n",
"
\n",
" \n",
" poctroponini._max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_max | \n",
" 4.3 | \n",
" 4.9 | \n",
" 4.9 | \n",
" 4.9 | \n",
" 4.9 | \n",
"
\n",
" \n",
" proteintotal_max | \n",
" NaN | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
"
\n",
" \n",
" prothrombintime_max | \n",
" NaN | \n",
" NaN | \n",
" 11.7 | \n",
" 11.7 | \n",
" 11.7 | \n",
"
\n",
" \n",
" ptt_max | \n",
" NaN | \n",
" NaN | \n",
" 23.6 | \n",
" 23.6 | \n",
" 23.6 | \n",
"
\n",
" \n",
" rbc_max | \n",
" 6.6 | \n",
" 6.6 | \n",
" 6.6 | \n",
" 6.6 | \n",
" 6.6 | \n",
"
\n",
" \n",
" rbc/hpf_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_max | \n",
" 17.4 | \n",
" 17.6 | \n",
" 17.6 | \n",
" 17.6 | \n",
" 17.6 | \n",
"
\n",
" \n",
" sodium_max | \n",
" 140 | \n",
" 141 | \n",
" 144 | \n",
" 144 | \n",
" 144 | \n",
"
\n",
" \n",
" troponini(poc)_max | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
"
\n",
" \n",
" troponint_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_max | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_max | \n",
" 6.8 | \n",
" 6.8 | \n",
" 6.8 | \n",
" 6.8 | \n",
" 6.8 | \n",
"
\n",
" \n",
" wbc/hpf_max | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" absolutelymphocytecount_median | \n",
" 0.7 | \n",
" 0.6 | \n",
" 0.7 | \n",
" 0.7 | \n",
" 0.75 | \n",
"
\n",
" \n",
" acetonebld_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" alanineaminotransferase(alt)_median | \n",
" NaN | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
" 52 | \n",
"
\n",
" \n",
" albumin_median | \n",
" NaN | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
" 3.3 | \n",
"
\n",
" \n",
" alkphos_median | \n",
" NaN | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
" 210 | \n",
"
\n",
" \n",
" anc(absneutrophilcount)_median | \n",
" 3.85 | \n",
" 3.7 | \n",
" 3.7 | \n",
" 3.7 | \n",
" 3.35 | \n",
"
\n",
" \n",
" aniongap_median | \n",
" 13 | \n",
" 13 | \n",
" 13 | \n",
" 13 | \n",
" 13 | \n",
"
\n",
" \n",
" aspartateaminotransferase(ast)_median | \n",
" NaN | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
" 54 | \n",
"
\n",
" \n",
" b-typenatriureticpeptide,pro(probnp)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" baseexcess(poc)_median | \n",
" NaN | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
" 12 | \n",
"
\n",
" \n",
" baseexcess,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" basos_median | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" basosabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" benzodiazepinesscreen,urine,noconf._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubindirect_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bilirubintotal_median | \n",
" NaN | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
" 1.02 | \n",
"
\n",
" \n",
" bun_median | \n",
" 13 | \n",
" 12.5 | \n",
" 13 | \n",
" 13.5 | \n",
" 13 | \n",
"
\n",
" \n",
" bun/creatratio_median | \n",
" 18.6 | \n",
" 19.3 | \n",
" 20 | \n",
" 20.7 | \n",
" 20.7 | \n",
"
\n",
" \n",
" calcium_median | \n",
" 8.9 | \n",
" 9 | \n",
" 9.1 | \n",
" 9.1 | \n",
" 9.2 | \n",
"
\n",
" \n",
" calculatedco2(poc)_median | \n",
" 35 | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
" 38 | \n",
"
\n",
" \n",
" calculatedhco3(poc)i_median | \n",
" NaN | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
" 36.5 | \n",
"
\n",
" \n",
" calculatedo2saturation(poc)_median | \n",
" NaN | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
" 66 | \n",
"
\n",
" \n",
" chloride_median | \n",
" 99 | \n",
" 100 | \n",
" 101 | \n",
" 101 | \n",
" 101 | \n",
"
\n",
" \n",
" cktotal_median | \n",
" NaN | \n",
" NaN | \n",
" 265 | \n",
" 265 | \n",
" 265 | \n",
"
\n",
" \n",
" co2_median | \n",
" 29 | \n",
" 27.25 | \n",
" 28.2 | \n",
" 28.6 | \n",
" 28.35 | \n",
"
\n",
" \n",
" co2calculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" co2,poc_median | \n",
" NaN | \n",
" 33 | \n",
" 33 | \n",
" 33 | \n",
" 33.5 | \n",
"
\n",
" \n",
" creatinine_median | \n",
" 0.6 | \n",
" 0.6 | \n",
" 0.6 | \n",
" 0.6 | \n",
" 0.6 | \n",
"
\n",
" \n",
" d-dimer_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(nonafricanamerican)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" egfr(aframer)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" eos_median | \n",
" 1.5 | \n",
" 2 | \n",
" 2 | \n",
" 2 | \n",
" 2.5 | \n",
"
\n",
" \n",
" eosinoabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" epithelialcells_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" globulin_median | \n",
" NaN | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
" 3.9 | \n",
"
\n",
" \n",
" glucose_median | \n",
" 99 | \n",
" 112 | \n",
" 125 | \n",
" 130.5 | \n",
" 133 | \n",
"
\n",
" \n",
" glucose,meter_median | \n",
" 186 | \n",
" 186 | \n",
" 179 | \n",
" 179 | \n",
" 179 | \n",
"
\n",
" \n",
" hco3calculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" hematocrit_median | \n",
" 56.1 | \n",
" 54.2 | \n",
" 52.7 | \n",
" 53 | \n",
" 52.1 | \n",
"
\n",
" \n",
" hemoglobin_median | \n",
" 17.8 | \n",
" 17.2 | \n",
" 17.1 | \n",
" 17.1 | \n",
" 17.05 | \n",
"
\n",
" \n",
" immaturegrans(abs)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" immaturegranulocytes_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" inr_median | \n",
" NaN | \n",
" NaN | \n",
" 1.06 | \n",
" 1.02 | \n",
" 1.02 | \n",
"
\n",
" \n",
" lactate,poc_median | \n",
" NaN | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" lipase_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" lymphs_median | \n",
" 14.5 | \n",
" 16 | \n",
" 17 | \n",
" 18 | \n",
" 18.5 | \n",
"
\n",
" \n",
" magnesium_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mch_median | \n",
" 28.2 | \n",
" 28 | \n",
" 28.2 | \n",
" 28.4 | \n",
" 28.55 | \n",
"
\n",
" \n",
" mchc_median | \n",
" 31.85 | \n",
" 31.8 | \n",
" 31.85 | \n",
" 31.9 | \n",
" 32.1 | \n",
"
\n",
" \n",
" mcv_median | \n",
" 88.5 | \n",
" 88 | \n",
" 88.5 | \n",
" 89 | \n",
" 88.5 | \n",
"
\n",
" \n",
" monocytes_median | \n",
" 4 | \n",
" 4 | \n",
" 4.5 | \n",
" 5 | \n",
" 5 | \n",
"
\n",
" \n",
" monosabs_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" mpv_median | \n",
" 10.4 | \n",
" 10.3 | \n",
" 10.4 | \n",
" 10.4 | \n",
" 10.45 | \n",
"
\n",
" \n",
" neutrophils_median | \n",
" 79 | \n",
" 76 | \n",
" 75 | \n",
" 74 | \n",
" 74 | \n",
"
\n",
" \n",
" nrbc_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" nrbcabsolute_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" o2satcalculated,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pco2(poc)_median | \n",
" NaN | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
" 53 | \n",
"
\n",
" \n",
" pco2,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" ph,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phencyclidine(pcp)screen,urine,noconf._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" phosphorus_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" platelets_median | \n",
" 93.5 | \n",
" 94 | \n",
" 93.5 | \n",
" 93 | \n",
" 91.5 | \n",
"
\n",
" \n",
" po2(poc)_median | \n",
" NaN | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
" 34 | \n",
"
\n",
" \n",
" po2,venous(poc)_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" pocbun_median | \n",
" 12 | \n",
" 13 | \n",
" 13 | \n",
" 13 | \n",
" 14 | \n",
"
\n",
" \n",
" poccreatinine_median | \n",
" 0.8 | \n",
" 0.75 | \n",
" 0.75 | \n",
" 0.75 | \n",
" 0.75 | \n",
"
\n",
" \n",
" pocglucose_median | \n",
" 117 | \n",
" 129 | \n",
" 132.5 | \n",
" 132.5 | \n",
" 132.5 | \n",
"
\n",
" \n",
" pochematocrit_median | \n",
" 59 | \n",
" 57 | \n",
" 57 | \n",
" 57 | \n",
" 53.5 | \n",
"
\n",
" \n",
" pocionizedcalcium_median | \n",
" 4.5 | \n",
" 4.2 | \n",
" 4.2 | \n",
" 4.2 | \n",
" 4.35 | \n",
"
\n",
" \n",
" pocph_median | \n",
" NaN | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
" 7.45 | \n",
"
\n",
" \n",
" pocpotassium_median | \n",
" 2.6 | \n",
" 4.7 | \n",
" 4.7 | \n",
" 4.7 | \n",
" 5.5 | \n",
"
\n",
" \n",
" pocsodium_median | \n",
" 143 | \n",
" 141 | \n",
" 141 | \n",
" 141 | \n",
" 141 | \n",
"
\n",
" \n",
" poctroponini._median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" potassium_median | \n",
" 3.65 | \n",
" 4.3 | \n",
" 4.45 | \n",
" 4.6 | \n",
" 4.6 | \n",
"
\n",
" \n",
" proteintotal_median | \n",
" NaN | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
" 7.2 | \n",
"
\n",
" \n",
" prothrombintime_median | \n",
" NaN | \n",
" NaN | \n",
" 11.7 | \n",
" 11.3 | \n",
" 11.3 | \n",
"
\n",
" \n",
" ptt_median | \n",
" NaN | \n",
" NaN | \n",
" 23.6 | \n",
" 23.6 | \n",
" 23.6 | \n",
"
\n",
" \n",
" rbc_median | \n",
" 6.35 | \n",
" 6.1 | \n",
" 5.95 | \n",
" 5.8 | \n",
" 5.8 | \n",
"
\n",
" \n",
" rbc/hpf_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" rdw_median | \n",
" 16.55 | \n",
" 16.8 | \n",
" 16.9 | \n",
" 16.8 | \n",
" 16.9 | \n",
"
\n",
" \n",
" sodium_median | \n",
" 138 | \n",
" 139 | \n",
" 140 | \n",
" 140.5 | \n",
" 142 | \n",
"
\n",
" \n",
" troponini(poc)_median | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
" 0.06 | \n",
"
\n",
" \n",
" troponint_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" tsh_median | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" 2.61 | \n",
" NaN | \n",
"
\n",
" \n",
" wbc_median | \n",
" 5 | \n",
" 5 | \n",
" 4.9 | \n",
" 4.8 | \n",
" 4.55 | \n",
"
\n",
" \n",
" wbc/hpf_median | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
" NaN | \n",
"
\n",
" \n",
" bloodua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glucoseua_last | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" ketonesua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukocytesua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nitriteua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pregtestur_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodculture,routine_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urineculture,routine_last | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" glucoseua_npos | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" ketonesua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" leukocytesua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" nitriteua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pregtestur_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodculture,routine_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" urineculture,routine_npos | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" bloodua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" glucoseua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" ketonesua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" leukocytesua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" nitriteua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" pregtestur_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" proteinua_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" bloodculture,routine_count | \n",
" 1 | \n",
" 2 | \n",
" 2 | \n",
" 2 | \n",
" 2 | \n",
"
\n",
" \n",
" urineculture,routine_count | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" triage_vital_hr | \n",
" NaN | \n",
" 89 | \n",
" 89 | \n",
" 77 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_sbp | \n",
" NaN | \n",
" 125 | \n",
" 135 | \n",
" 118 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_dbp | \n",
" NaN | \n",
" 82 | \n",
" 92 | \n",
" 73 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_rr | \n",
" NaN | \n",
" 18 | \n",
" 18 | \n",
" 16 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_o2 | \n",
" NaN | \n",
" 94 | \n",
" 98 | \n",
" 94 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_o2_device | \n",
" NaN | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" NaN | \n",
"
\n",
" \n",
" triage_vital_temp | \n",
" NaN | \n",
" 97.5 | \n",
" 97.5 | \n",
" 98 | \n",
" NaN | \n",
"
\n",
" \n",
" pulse_last | \n",
" 80 | \n",
" 72 | \n",
" 70 | \n",
" 81 | \n",
" 70 | \n",
"
\n",
" \n",
" resp_last | \n",
" 18 | \n",
" 18 | \n",
" 17 | \n",
" 18 | \n",
" 16 | \n",
"
\n",
" \n",
" spo2_last | \n",
" 93 | \n",
" NaN | \n",
" 98 | \n",
" 95 | \n",
" 98 | \n",
"
\n",
" \n",
" temp_last | \n",
" NaN | \n",
" 97.2 | \n",
" 98 | \n",
" 96.4 | \n",
" 96.8 | \n",
"
\n",
" \n",
" sbp_last | \n",
" 123 | \n",
" 125 | \n",
" 106 | \n",
" 145 | \n",
" 118 | \n",
"
\n",
" \n",
" dbp_last | \n",
" 72 | \n",
" 74 | \n",
" 73 | \n",
" 96 | \n",
" 78 | \n",
"
\n",
" \n",
" o2_device_last | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulse_min | \n",
" 70 | \n",
" 68 | \n",
" 68 | \n",
" 68 | \n",
" 68 | \n",
"
\n",
" \n",
" resp_min | \n",
" 14 | \n",
" 14 | \n",
" 14 | \n",
" 14 | \n",
" 14 | \n",
"
\n",
" \n",
" spo2_min | \n",
" 93 | \n",
" 91 | \n",
" 91 | \n",
" 91 | \n",
" 91 | \n",
"
\n",
" \n",
" temp_min | \n",
" 96.9 | \n",
" 96.9 | \n",
" 96.4 | \n",
" 96.4 | \n",
" 96.4 | \n",
"
\n",
" \n",
" sbp_min | \n",
" 104 | \n",
" 104 | \n",
" 98 | \n",
" 98 | \n",
" 98 | \n",
"
\n",
" \n",
" dbp_min | \n",
" 64 | \n",
" 64 | \n",
" 64 | \n",
" 64 | \n",
" 64 | \n",
"
\n",
" \n",
" o2_device_min | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" pulse_max | \n",
" 89 | \n",
" 89 | \n",
" 89 | \n",
" 89 | \n",
" 89 | \n",
"
\n",
" \n",
" resp_max | \n",
" 20 | \n",
" 20 | \n",
" 20 | \n",
" 20 | \n",
" 20 | \n",
"
\n",
" \n",
" spo2_max | \n",
" 98 | \n",
" 99 | \n",
" 99 | \n",
" 99 | \n",
" 99 | \n",
"
\n",
" \n",
" temp_max | \n",
" 98.1 | \n",
" 98.4 | \n",
" 98.4 | \n",
" 98.4 | \n",
" 98.4 | \n",
"
\n",
" \n",
" sbp_max | \n",
" 144 | \n",
" 144 | \n",
" 144 | \n",
" 145 | \n",
" 145 | \n",
"
\n",
" \n",
" dbp_max | \n",
" 94 | \n",
" 94 | \n",
" 94 | \n",
" 96 | \n",
" 96 | \n",
"
\n",
" \n",
" o2_device_max | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" pulse_median | \n",
" 76 | \n",
" 72.5 | \n",
" 72.5 | \n",
" 73 | \n",
" 72.5 | \n",
"
\n",
" \n",
" resp_median | \n",
" 16 | \n",
" 16 | \n",
" 16 | \n",
" 16 | \n",
" 16 | \n",
"
\n",
" \n",
" spo2_median | \n",
" 95 | \n",
" 95 | \n",
" 95 | \n",
" 95 | \n",
" 95 | \n",
"
\n",
" \n",
" temp_median | \n",
" 97 | \n",
" 97.6 | \n",
" 97.6 | \n",
" 97.55 | \n",
" 97.6 | \n",
"
\n",
" \n",
" sbp_median | \n",
" 117 | \n",
" 120 | \n",
" 120 | \n",
" 121 | \n",
" 119.5 | \n",
"
\n",
" \n",
" dbp_median | \n",
" 77 | \n",
" 76 | \n",
" 76 | \n",
" 76 | \n",
" 74.5 | \n",
"
\n",
" \n",
" o2_device_median | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cxr_count | \n",
" 2 | \n",
" 3 | \n",
" 3 | \n",
" 3 | \n",
" 2 | \n",
"
\n",
" \n",
" echo_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" ekg_count | \n",
" 3 | \n",
" 4 | \n",
" 5 | \n",
" 5 | \n",
" 4 | \n",
"
\n",
" \n",
" headct_count | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" mri_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherct_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" otherimg_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otherus_count | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" otherxr_count | \n",
" 2 | \n",
" 2 | \n",
" 3 | \n",
" 4 | \n",
" 5 | \n",
"
\n",
" \n",
" meds_analgesicandantihistaminecombination | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_analgesics | \n",
" 3 | \n",
" 1 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anesthetics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anti-obesitydrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiallergy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiarthritics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiasthmatics | \n",
" 2 | \n",
" 2 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_antibiotics | \n",
" 3 | \n",
" 1 | \n",
" 0 | \n",
" 2 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_anticoagulants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antidotes | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antifungals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antihistamineanddecongestantcombination | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antihistamines | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antihyperglycemics | \n",
" 2 | \n",
" 2 | \n",
" 0 | \n",
" 2 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_antiinfectives | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiinfectives/miscellaneous | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antineoplastics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiparkinsondrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_antiplateletdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_antivirals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_autonomicdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_biologicals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_blood | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cardiacdrugs | \n",
" 2 | \n",
" 2 | \n",
" 0 | \n",
" 2 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_cardiovascular | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cnsdrugs | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_colonystimulatingfactors | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_contraceptives | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_cough/coldpreparations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_diagnostic | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_diuretics | \n",
" 2 | \n",
" 2 | \n",
" 0 | \n",
" 2 | \n",
" 2 | \n",
"
\n",
" \n",
" meds_eentpreps | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_elect/caloric/h2o | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_gastrointestinal | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
" 2 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_herbals | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_hormones | \n",
" 1 | \n",
" 1 | \n",
" 0 | \n",
" 1 | \n",
" 1 | \n",
"
\n",
" \n",
" meds_immunosuppressants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_investigational | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_miscellaneousmedicalsupplies,devices,non-drug | \n",
" 4 | \n",
" 1 | \n",
" 0 | \n",
" 3 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_musclerelaxants | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_pre-natalvitamins | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_psychotherapeuticdrugs | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_sedative/hypnotics | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_skinpreps | \n",
" 5 | \n",
" 3 | \n",
" 0 | \n",
" 5 | \n",
" 3 | \n",
"
\n",
" \n",
" meds_smokingdeterrents | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_thyroidpreps | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_unclassifieddrugproducts | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" meds_vitamins | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" n_surgeries | \n",
" 8 | \n",
" 8 | \n",
" 8 | \n",
" 8 | \n",
" 8 | \n",
"
\n",
" \n",
" cc_abdominalcramping | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominaldistention | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abdominalpainpregnant | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abnormallab | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_abscess | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_addictionproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_agitation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alcoholintoxication | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alcoholproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_allergicreaction | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_alteredmentalstatus | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_animalbite | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ankleinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_anklepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_anxiety | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_arminjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_armpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_armswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_assaultvictim | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_asthma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_backpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_bleeding/bruising | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_blurredvision | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_bodyfluidexposure | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breastpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breathingdifficulty | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_breathingproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_burn | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cardiacarrest | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cellulitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chestpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chesttightness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_chills | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_coldlikesymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_confusion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_conjunctivitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_constipation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cough | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_cyst | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_decreasedbloodsugar-symptomatic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dehydration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dentalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_depression | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_detoxevaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_diarrhea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dizziness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_drug/alcoholassessment | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_drugproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dyspnea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_dysuria | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_earpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_earproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_edema | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elbowpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elevatedbloodsugar-nosymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_elevatedbloodsugar-symptomatic | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_emesis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_epigastricpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_epistaxis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_exposuretostd | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_extremitylaceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_extremityweakness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_eyeredness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_faciallaceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_facialswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fall | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fall>65 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fatigue | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_femaleguproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever-75yearsorolder | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fever-9weeksto74years | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_feverimmunocompromised | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fingerswelling | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_flankpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_follow-upcellulitis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_footswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_foreignbodyineye | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_fulltrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_generalizedbodyaches | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_gibleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_giproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_groinpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hallucinations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_handinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_handpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache-newonsetornewsymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headache-recurrentorknowndxmigraines | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headachere-evaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_headlaceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hematuria | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hemoptysis | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hippain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_homicidal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hyperglycemia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hypertension | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_hypotension | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_influenza | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ingestion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_insectbite | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_irregularheartbeat | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_jawpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_jointswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_kneeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_kneepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_laceration | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_leginjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_legpain | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_legswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_lethargy | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_lossofconsciousness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_maleguproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_mass | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicalproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1 | \n",
"
\n",
" \n",
" cc_medicalscreening | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicationproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_medicationrefill | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_migraine | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_modifiedtrauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_motorcyclecrash | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_motorvehiclecrash | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_multiplefalls | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nasalcongestion | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nausea | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_nearsyncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_neckpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_neurologicproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_numbness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_oralswelling | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_otalgia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_other | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_overdose-accidental | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_overdose-intentional | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_pain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_palpitations | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_panicattack | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_pelvicpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_poisoning | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_post-opproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_psychiatricevaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_psychoticsymptoms | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rapidheartrate | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rash | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rectalbleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_rectalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_respiratorydistress | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ribinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_ribpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizure-newonset | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizure-priorhxof | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_seizures | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shortnessofbreath | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shoulderinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_shoulderpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sicklecellpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sinusproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_skinirritation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_skinproblem | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_sorethroat | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_stdcheck | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_strokealert | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_suicidal | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_suture/stapleremoval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_swallowedforeignbody | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_syncope | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_tachycardia | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_testiclepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_thumbinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_tickremoval | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_toeinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_toepain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_trauma | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_unresponsive | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_uri | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinaryfrequency | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinaryretention | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_urinarytractinfection | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginalbleeding | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginaldischarge | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_vaginalpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_weakness | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wheezing | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_withdrawal-alcohol | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundcheck | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundinfection | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_woundre-evaluation | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wristinjury | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
" cc_wristpain | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 560481 \\\n",
"dep_name A \n",
"esi 2 \n",
"age 49 \n",
"gender Male \n",
"ethnicity Non-Hispanic \n",
"race White or Caucasian \n",
"lang English \n",
"religion Episcopal \n",
"maritalstatus Single \n",
"employstatus Disabled \n",
"insurance_status Medicare \n",
"disposition Admit \n",
"arrivalmode ambulance \n",
"arrivalmonth December \n",
"arrivalday Thursday \n",
"arrivalhour_bin 15-18 \n",
"previousdispo Admit \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 1 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 1 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 1 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 1 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 1 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 1 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 1 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 1 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 1 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 1 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 1 \n",
"otbnignneo 1 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 1 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 1 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 1 \n",
"othinfectns 0 \n",
"othliverdx 1 \n",
"othlowresp 1 \n",
"othmalegen 1 \n",
"othnervdx 1 \n",
"othskindx 1 \n",
"othveindx 0 \n",
"otinflskin 1 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 1 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 1 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 1 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 1 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 4 \n",
"n_admissions 2 \n",
"absolutelymphocytecount_last 0.5 \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last 5.9 \n",
"aniongap_last 13 \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last 0 \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last 11 \n",
"bun/creatratio_last 18.3 \n",
"calcium_last 8.9 \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last 98 \n",
"cktotal_last NaN \n",
"co2_last 29 \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last 0.6 \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last 1 \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last 99 \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last 45.9 \n",
"hemoglobin_last 14.9 \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last 7 \n",
"magnesium_last NaN \n",
"mch_last 28.7 \n",
"mchc_last 32.6 \n",
"mcv_last 88 \n",
"monocytes_last 4 \n",
"monosabs_last NaN \n",
"mpv_last 9.7 \n",
"neutrophils_last 88 \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last 94 \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last 4.3 \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last 5.2 \n",
"rbc/hpf_last NaN \n",
"rdw_last 17.4 \n",
"sodium_last 140 \n",
"troponini(poc)_last 0.06 \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last 6.8 \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 0.5 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min NaN \n",
"albumin_min NaN \n",
"alkphos_min NaN \n",
"anc(absneutrophilcount)_min 3.7 \n",
"aniongap_min 11 \n",
"aspartateaminotransferase(ast)_min NaN \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min NaN \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 0 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min NaN \n",
"bun_min 11 \n",
"bun/creatratio_min 18.3 \n",
"calcium_min 8.8 \n",
"calculatedco2(poc)_min 35 \n",
"calculatedhco3(poc)i_min NaN \n",
"calculatedo2saturation(poc)_min NaN \n",
"chloride_min 98 \n",
"cktotal_min NaN \n",
"co2_min 24.1 \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min NaN \n",
"creatinine_min 0.5 \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 1 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min NaN \n",
"glucose_min 95 \n",
"glucose,meter_min 186 \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 45.9 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min NaN \n",
"lipase_min NaN \n",
"lymphs_min 7 \n",
"magnesium_min NaN \n",
"mch_min 27.9 \n",
"mchc_min 31.6 \n",
"mcv_min 87 \n",
"monocytes_min 4 \n",
"monosabs_min NaN \n",
"mpv_min 9.7 \n",
"neutrophils_min 74 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min NaN \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 89 \n",
"po2(poc)_min NaN \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 12 \n",
"poccreatinine_min 0.8 \n",
"pocglucose_min 98 \n",
"pochematocrit_min 59 \n",
"pocionizedcalcium_min 4.5 \n",
"pocph_min NaN \n",
"pocpotassium_min 2.6 \n",
"pocsodium_min 143 \n",
"poctroponini._min NaN \n",
"potassium_min 3 \n",
"proteintotal_min NaN \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min 5.2 \n",
"rbc/hpf_min NaN \n",
"rdw_min 16.2 \n",
"sodium_min 137 \n",
"troponini(poc)_min 0.06 \n",
"troponint_min NaN \n",
"tsh_min 2.61 \n",
"wbc_min 4.8 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max NaN \n",
"albumin_max NaN \n",
"alkphos_max NaN \n",
"anc(absneutrophilcount)_max 5.9 \n",
"aniongap_max 13 \n",
"aspartateaminotransferase(ast)_max NaN \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max NaN \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 1 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max NaN \n",
"bun_max 17 \n",
"bun/creatratio_max 24.3 \n",
"calcium_max 9.6 \n",
"calculatedco2(poc)_max 35 \n",
"calculatedhco3(poc)i_max NaN \n",
"calculatedo2saturation(poc)_max NaN \n",
"chloride_max 101 \n",
"cktotal_max NaN \n",
"co2_max 35 \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max NaN \n",
"creatinine_max 0.7 \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 3 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max NaN \n",
"glucose_max 136 \n",
"glucose,meter_max 186 \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 58 \n",
"hemoglobin_max 18.5 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max NaN \n",
"lipase_max NaN \n",
"lymphs_max 20 \n",
"magnesium_max NaN \n",
"mch_max 28.7 \n",
"mchc_max 32.6 \n",
"mcv_max 89 \n",
"monocytes_max 5 \n",
"monosabs_max NaN \n",
"mpv_max 11.1 \n",
"neutrophils_max 88 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max NaN \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 95 \n",
"po2(poc)_max NaN \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 12 \n",
"poccreatinine_max 0.8 \n",
"pocglucose_max 136 \n",
"pochematocrit_max 59 \n",
"pocionizedcalcium_max 4.5 \n",
"pocph_max NaN \n",
"pocpotassium_max 2.6 \n",
"pocsodium_max 143 \n",
"poctroponini._max NaN \n",
"potassium_max 4.3 \n",
"proteintotal_max NaN \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max 6.6 \n",
"rbc/hpf_max NaN \n",
"rdw_max 17.4 \n",
"sodium_max 140 \n",
"troponini(poc)_max 0.06 \n",
"troponint_max NaN \n",
"tsh_max 2.61 \n",
"wbc_max 6.8 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 0.7 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median NaN \n",
"albumin_median NaN \n",
"alkphos_median NaN \n",
"anc(absneutrophilcount)_median 3.85 \n",
"aniongap_median 13 \n",
"aspartateaminotransferase(ast)_median NaN \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median NaN \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 0 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median NaN \n",
"bun_median 13 \n",
"bun/creatratio_median 18.6 \n",
"calcium_median 8.9 \n",
"calculatedco2(poc)_median 35 \n",
"calculatedhco3(poc)i_median NaN \n",
"calculatedo2saturation(poc)_median NaN \n",
"chloride_median 99 \n",
"cktotal_median NaN \n",
"co2_median 29 \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median NaN \n",
"creatinine_median 0.6 \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 1.5 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median NaN \n",
"glucose_median 99 \n",
"glucose,meter_median 186 \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 56.1 \n",
"hemoglobin_median 17.8 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median NaN \n",
"lipase_median NaN \n",
"lymphs_median 14.5 \n",
"magnesium_median NaN \n",
"mch_median 28.2 \n",
"mchc_median 31.85 \n",
"mcv_median 88.5 \n",
"monocytes_median 4 \n",
"monosabs_median NaN \n",
"mpv_median 10.4 \n",
"neutrophils_median 79 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median NaN \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 93.5 \n",
"po2(poc)_median NaN \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 12 \n",
"poccreatinine_median 0.8 \n",
"pocglucose_median 117 \n",
"pochematocrit_median 59 \n",
"pocionizedcalcium_median 4.5 \n",
"pocph_median NaN \n",
"pocpotassium_median 2.6 \n",
"pocsodium_median 143 \n",
"poctroponini._median NaN \n",
"potassium_median 3.65 \n",
"proteintotal_median NaN \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median 6.35 \n",
"rbc/hpf_median NaN \n",
"rdw_median 16.55 \n",
"sodium_median 138 \n",
"troponini(poc)_median 0.06 \n",
"troponint_median NaN \n",
"tsh_median 2.61 \n",
"wbc_median 5 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 1 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr NaN \n",
"triage_vital_sbp NaN \n",
"triage_vital_dbp NaN \n",
"triage_vital_rr NaN \n",
"triage_vital_o2 NaN \n",
"triage_vital_o2_device NaN \n",
"triage_vital_temp NaN \n",
"pulse_last 80 \n",
"resp_last 18 \n",
"spo2_last 93 \n",
"temp_last NaN \n",
"sbp_last 123 \n",
"dbp_last 72 \n",
"o2_device_last 1 \n",
"pulse_min 70 \n",
"resp_min 14 \n",
"spo2_min 93 \n",
"temp_min 96.9 \n",
"sbp_min 104 \n",
"dbp_min 64 \n",
"o2_device_min 0 \n",
"pulse_max 89 \n",
"resp_max 20 \n",
"spo2_max 98 \n",
"temp_max 98.1 \n",
"sbp_max 144 \n",
"dbp_max 94 \n",
"o2_device_max 1 \n",
"pulse_median 76 \n",
"resp_median 16 \n",
"spo2_median 95 \n",
"temp_median 97 \n",
"sbp_median 117 \n",
"dbp_median 77 \n",
"o2_device_median 0 \n",
"cxr_count 2 \n",
"echo_count 0 \n",
"ekg_count 3 \n",
"headct_count 1 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 2 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 3 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 2 \n",
"meds_antibiotics 3 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 2 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 2 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 1 \n",
"meds_diuretics 2 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 1 \n",
"meds_herbals 0 \n",
"meds_hormones 1 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 4 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 1 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 5 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 8 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 1 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 560482 \\\n",
"dep_name A \n",
"esi 3 \n",
"age 50 \n",
"gender Male \n",
"ethnicity Non-Hispanic \n",
"race White or Caucasian \n",
"lang English \n",
"religion Episcopal \n",
"maritalstatus Single \n",
"employstatus Disabled \n",
"insurance_status Medicare \n",
"disposition Admit \n",
"arrivalmode ambulance \n",
"arrivalmonth March \n",
"arrivalday Thursday \n",
"arrivalhour_bin 19-22 \n",
"previousdispo Admit \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 1 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 1 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 1 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 1 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 1 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 1 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 1 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 1 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 1 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 1 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 1 \n",
"otbnignneo 1 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 1 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 1 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 1 \n",
"othinfectns 0 \n",
"othliverdx 1 \n",
"othlowresp 1 \n",
"othmalegen 1 \n",
"othnervdx 1 \n",
"othskindx 1 \n",
"othveindx 0 \n",
"otinflskin 1 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 1 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 1 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 1 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 1 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 5 \n",
"n_admissions 3 \n",
"absolutelymphocytecount_last 0.6 \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last 52 \n",
"albumin_last 3.3 \n",
"alkphos_last 210 \n",
"anc(absneutrophilcount)_last 2.6 \n",
"aniongap_last 15 \n",
"aspartateaminotransferase(ast)_last 54 \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last 12 \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last 0 \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last 1.02 \n",
"bun_last 12 \n",
"bun/creatratio_last 20 \n",
"calcium_last 9.1 \n",
"calculatedco2(poc)_last 38 \n",
"calculatedhco3(poc)i_last 36.5 \n",
"calculatedo2saturation(poc)_last 66 \n",
"chloride_last 101 \n",
"cktotal_last NaN \n",
"co2_last 25.5 \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last 33 \n",
"creatinine_last 0.6 \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last 3 \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last 3.9 \n",
"glucose_last 125 \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last 50.7 \n",
"hemoglobin_last 16.1 \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last 1 \n",
"lipase_last NaN \n",
"lymphs_last 16 \n",
"magnesium_last NaN \n",
"mch_last 28 \n",
"mchc_last 31.8 \n",
"mcv_last 88 \n",
"monocytes_last 5 \n",
"monosabs_last NaN \n",
"mpv_last 9.2 \n",
"neutrophils_last 76 \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last 53 \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last 116 \n",
"po2(poc)_last 34 \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last 14 \n",
"poccreatinine_last 0.7 \n",
"pocglucose_last 129 \n",
"pochematocrit_last 55 \n",
"pocionizedcalcium_last 3.9 \n",
"pocph_last 7.45 \n",
"pocpotassium_last 6.8 \n",
"pocsodium_last 139 \n",
"poctroponini._last NaN \n",
"potassium_last 4.9 \n",
"proteintotal_last 7.2 \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last 5.8 \n",
"rbc/hpf_last NaN \n",
"rdw_last 17.6 \n",
"sodium_last 141 \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last 3.4 \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 0.5 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min 52 \n",
"albumin_min 3.3 \n",
"alkphos_min 210 \n",
"anc(absneutrophilcount)_min 2.6 \n",
"aniongap_min 11 \n",
"aspartateaminotransferase(ast)_min 54 \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min 12 \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 0 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min 1.02 \n",
"bun_min 11 \n",
"bun/creatratio_min 18.3 \n",
"calcium_min 8.8 \n",
"calculatedco2(poc)_min 35 \n",
"calculatedhco3(poc)i_min 36.5 \n",
"calculatedo2saturation(poc)_min 66 \n",
"chloride_min 98 \n",
"cktotal_min NaN \n",
"co2_min 24.1 \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min 33 \n",
"creatinine_min 0.5 \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 1 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min 3.9 \n",
"glucose_min 95 \n",
"glucose,meter_min 186 \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 45.9 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min NaN \n",
"lactate,poc_min 1 \n",
"lipase_min NaN \n",
"lymphs_min 7 \n",
"magnesium_min NaN \n",
"mch_min 27.9 \n",
"mchc_min 31.6 \n",
"mcv_min 87 \n",
"monocytes_min 4 \n",
"monosabs_min NaN \n",
"mpv_min 9.2 \n",
"neutrophils_min 74 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min 53 \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 89 \n",
"po2(poc)_min 34 \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 12 \n",
"poccreatinine_min 0.7 \n",
"pocglucose_min 98 \n",
"pochematocrit_min 55 \n",
"pocionizedcalcium_min 3.9 \n",
"pocph_min 7.45 \n",
"pocpotassium_min 2.6 \n",
"pocsodium_min 139 \n",
"poctroponini._min NaN \n",
"potassium_min 3 \n",
"proteintotal_min 7.2 \n",
"prothrombintime_min NaN \n",
"ptt_min NaN \n",
"rbc_min 5.2 \n",
"rbc/hpf_min NaN \n",
"rdw_min 16.2 \n",
"sodium_min 137 \n",
"troponini(poc)_min 0.06 \n",
"troponint_min NaN \n",
"tsh_min 2.61 \n",
"wbc_min 3.4 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max 52 \n",
"albumin_max 3.3 \n",
"alkphos_max 210 \n",
"anc(absneutrophilcount)_max 5.9 \n",
"aniongap_max 15 \n",
"aspartateaminotransferase(ast)_max 54 \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max 12 \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 1 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max 1.02 \n",
"bun_max 17 \n",
"bun/creatratio_max 24.3 \n",
"calcium_max 9.6 \n",
"calculatedco2(poc)_max 38 \n",
"calculatedhco3(poc)i_max 36.5 \n",
"calculatedo2saturation(poc)_max 66 \n",
"chloride_max 101 \n",
"cktotal_max NaN \n",
"co2_max 35 \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max 33 \n",
"creatinine_max 0.7 \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 3 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max 3.9 \n",
"glucose_max 136 \n",
"glucose,meter_max 186 \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 58 \n",
"hemoglobin_max 18.5 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max NaN \n",
"lactate,poc_max 1 \n",
"lipase_max NaN \n",
"lymphs_max 20 \n",
"magnesium_max NaN \n",
"mch_max 28.7 \n",
"mchc_max 32.6 \n",
"mcv_max 89 \n",
"monocytes_max 5 \n",
"monosabs_max NaN \n",
"mpv_max 11.1 \n",
"neutrophils_max 88 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max 53 \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 116 \n",
"po2(poc)_max 34 \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 14 \n",
"poccreatinine_max 0.8 \n",
"pocglucose_max 136 \n",
"pochematocrit_max 59 \n",
"pocionizedcalcium_max 4.5 \n",
"pocph_max 7.45 \n",
"pocpotassium_max 6.8 \n",
"pocsodium_max 143 \n",
"poctroponini._max NaN \n",
"potassium_max 4.9 \n",
"proteintotal_max 7.2 \n",
"prothrombintime_max NaN \n",
"ptt_max NaN \n",
"rbc_max 6.6 \n",
"rbc/hpf_max NaN \n",
"rdw_max 17.6 \n",
"sodium_max 141 \n",
"troponini(poc)_max 0.06 \n",
"troponint_max NaN \n",
"tsh_max 2.61 \n",
"wbc_max 6.8 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 0.6 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median 52 \n",
"albumin_median 3.3 \n",
"alkphos_median 210 \n",
"anc(absneutrophilcount)_median 3.7 \n",
"aniongap_median 13 \n",
"aspartateaminotransferase(ast)_median 54 \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median 12 \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 0 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median 1.02 \n",
"bun_median 12.5 \n",
"bun/creatratio_median 19.3 \n",
"calcium_median 9 \n",
"calculatedco2(poc)_median 36.5 \n",
"calculatedhco3(poc)i_median 36.5 \n",
"calculatedo2saturation(poc)_median 66 \n",
"chloride_median 100 \n",
"cktotal_median NaN \n",
"co2_median 27.25 \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median 33 \n",
"creatinine_median 0.6 \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 2 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median 3.9 \n",
"glucose_median 112 \n",
"glucose,meter_median 186 \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 54.2 \n",
"hemoglobin_median 17.2 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median NaN \n",
"lactate,poc_median 1 \n",
"lipase_median NaN \n",
"lymphs_median 16 \n",
"magnesium_median NaN \n",
"mch_median 28 \n",
"mchc_median 31.8 \n",
"mcv_median 88 \n",
"monocytes_median 4 \n",
"monosabs_median NaN \n",
"mpv_median 10.3 \n",
"neutrophils_median 76 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median 53 \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 94 \n",
"po2(poc)_median 34 \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 13 \n",
"poccreatinine_median 0.75 \n",
"pocglucose_median 129 \n",
"pochematocrit_median 57 \n",
"pocionizedcalcium_median 4.2 \n",
"pocph_median 7.45 \n",
"pocpotassium_median 4.7 \n",
"pocsodium_median 141 \n",
"poctroponini._median NaN \n",
"potassium_median 4.3 \n",
"proteintotal_median 7.2 \n",
"prothrombintime_median NaN \n",
"ptt_median NaN \n",
"rbc_median 6.1 \n",
"rbc/hpf_median NaN \n",
"rdw_median 16.8 \n",
"sodium_median 139 \n",
"troponini(poc)_median 0.06 \n",
"troponint_median NaN \n",
"tsh_median 2.61 \n",
"wbc_median 5 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 0 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 0 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 0 \n",
"glucoseua_count 0 \n",
"ketonesua_count 0 \n",
"leukocytesua_count 0 \n",
"nitriteua_count 0 \n",
"pregtestur_count 0 \n",
"proteinua_count 0 \n",
"bloodculture,routine_count 2 \n",
"urineculture,routine_count 0 \n",
"triage_vital_hr 89 \n",
"triage_vital_sbp 125 \n",
"triage_vital_dbp 82 \n",
"triage_vital_rr 18 \n",
"triage_vital_o2 94 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 97.5 \n",
"pulse_last 72 \n",
"resp_last 18 \n",
"spo2_last NaN \n",
"temp_last 97.2 \n",
"sbp_last 125 \n",
"dbp_last 74 \n",
"o2_device_last 1 \n",
"pulse_min 68 \n",
"resp_min 14 \n",
"spo2_min 91 \n",
"temp_min 96.9 \n",
"sbp_min 104 \n",
"dbp_min 64 \n",
"o2_device_min 0 \n",
"pulse_max 89 \n",
"resp_max 20 \n",
"spo2_max 99 \n",
"temp_max 98.4 \n",
"sbp_max 144 \n",
"dbp_max 94 \n",
"o2_device_max 1 \n",
"pulse_median 72.5 \n",
"resp_median 16 \n",
"spo2_median 95 \n",
"temp_median 97.6 \n",
"sbp_median 120 \n",
"dbp_median 76 \n",
"o2_device_median 0 \n",
"cxr_count 3 \n",
"echo_count 0 \n",
"ekg_count 4 \n",
"headct_count 1 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 2 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 1 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 2 \n",
"meds_antibiotics 1 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 2 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 2 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 2 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 1 \n",
"meds_herbals 0 \n",
"meds_hormones 1 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 1 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 3 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 8 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 1 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 560483 \\\n",
"dep_name A \n",
"esi 3 \n",
"age 50 \n",
"gender Male \n",
"ethnicity Non-Hispanic \n",
"race White or Caucasian \n",
"lang English \n",
"religion Episcopal \n",
"maritalstatus Single \n",
"employstatus Disabled \n",
"insurance_status Medicare \n",
"disposition Discharge \n",
"arrivalmode ambulance \n",
"arrivalmonth March \n",
"arrivalday Wednesday \n",
"arrivalhour_bin 11-14 \n",
"previousdispo Admit \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 1 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 1 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 1 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 1 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 1 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 1 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 1 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 1 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 1 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 1 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 1 \n",
"otbnignneo 1 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 1 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 1 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 1 \n",
"othinfectns 0 \n",
"othliverdx 1 \n",
"othlowresp 1 \n",
"othmalegen 1 \n",
"othnervdx 1 \n",
"othskindx 1 \n",
"othveindx 0 \n",
"otinflskin 1 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 1 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 1 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 1 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 1 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 6 \n",
"n_admissions 4 \n",
"absolutelymphocytecount_last 0.8 \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last 3 \n",
"aniongap_last 15 \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last 0 \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last 15 \n",
"bun/creatratio_last 21.4 \n",
"calcium_last 9.1 \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last 101 \n",
"cktotal_last 265 \n",
"co2_last 28.2 \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last 0.7 \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last 2 \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last 168 \n",
"glucose,meter_last 172 \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last 51.2 \n",
"hemoglobin_last 17 \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last 1.06 \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last 19 \n",
"magnesium_last NaN \n",
"mch_last 30.3 \n",
"mchc_last 33.3 \n",
"mcv_last 91 \n",
"monocytes_last 6 \n",
"monosabs_last NaN \n",
"mpv_last 10.8 \n",
"neutrophils_last 74 \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last 70 \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last 177 \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last 4.6 \n",
"proteintotal_last NaN \n",
"prothrombintime_last 11.7 \n",
"ptt_last 23.6 \n",
"rbc_last 5.6 \n",
"rbc/hpf_last NaN \n",
"rdw_last 17 \n",
"sodium_last 144 \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last 4.1 \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 0.5 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min 52 \n",
"albumin_min 3.3 \n",
"alkphos_min 210 \n",
"anc(absneutrophilcount)_min 2.6 \n",
"aniongap_min 11 \n",
"aspartateaminotransferase(ast)_min 54 \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min 12 \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 0 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min 1.02 \n",
"bun_min 11 \n",
"bun/creatratio_min 18.3 \n",
"calcium_min 8.8 \n",
"calculatedco2(poc)_min 35 \n",
"calculatedhco3(poc)i_min 36.5 \n",
"calculatedo2saturation(poc)_min 66 \n",
"chloride_min 98 \n",
"cktotal_min 265 \n",
"co2_min 24.1 \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min 33 \n",
"creatinine_min 0.5 \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 1 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min 3.9 \n",
"glucose_min 95 \n",
"glucose,meter_min 172 \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 45.9 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min 1.06 \n",
"lactate,poc_min 1 \n",
"lipase_min NaN \n",
"lymphs_min 7 \n",
"magnesium_min NaN \n",
"mch_min 27.9 \n",
"mchc_min 31.6 \n",
"mcv_min 87 \n",
"monocytes_min 4 \n",
"monosabs_min NaN \n",
"mpv_min 9.2 \n",
"neutrophils_min 74 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min 53 \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 70 \n",
"po2(poc)_min 34 \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 12 \n",
"poccreatinine_min 0.7 \n",
"pocglucose_min 98 \n",
"pochematocrit_min 55 \n",
"pocionizedcalcium_min 3.9 \n",
"pocph_min 7.45 \n",
"pocpotassium_min 2.6 \n",
"pocsodium_min 139 \n",
"poctroponini._min NaN \n",
"potassium_min 3 \n",
"proteintotal_min 7.2 \n",
"prothrombintime_min 11.7 \n",
"ptt_min 23.6 \n",
"rbc_min 5.2 \n",
"rbc/hpf_min NaN \n",
"rdw_min 16.2 \n",
"sodium_min 137 \n",
"troponini(poc)_min 0.06 \n",
"troponint_min NaN \n",
"tsh_min 2.61 \n",
"wbc_min 3.4 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max 52 \n",
"albumin_max 3.3 \n",
"alkphos_max 210 \n",
"anc(absneutrophilcount)_max 5.9 \n",
"aniongap_max 15 \n",
"aspartateaminotransferase(ast)_max 54 \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max 12 \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 1 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max 1.02 \n",
"bun_max 17 \n",
"bun/creatratio_max 24.3 \n",
"calcium_max 9.6 \n",
"calculatedco2(poc)_max 38 \n",
"calculatedhco3(poc)i_max 36.5 \n",
"calculatedo2saturation(poc)_max 66 \n",
"chloride_max 101 \n",
"cktotal_max 265 \n",
"co2_max 35 \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max 33 \n",
"creatinine_max 0.7 \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 3 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max 3.9 \n",
"glucose_max 168 \n",
"glucose,meter_max 186 \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 58 \n",
"hemoglobin_max 18.5 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max 1.06 \n",
"lactate,poc_max 1 \n",
"lipase_max NaN \n",
"lymphs_max 20 \n",
"magnesium_max NaN \n",
"mch_max 30.3 \n",
"mchc_max 33.3 \n",
"mcv_max 91 \n",
"monocytes_max 6 \n",
"monosabs_max NaN \n",
"mpv_max 11.1 \n",
"neutrophils_max 88 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max 53 \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 116 \n",
"po2(poc)_max 34 \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 14 \n",
"poccreatinine_max 0.8 \n",
"pocglucose_max 177 \n",
"pochematocrit_max 59 \n",
"pocionizedcalcium_max 4.5 \n",
"pocph_max 7.45 \n",
"pocpotassium_max 6.8 \n",
"pocsodium_max 143 \n",
"poctroponini._max NaN \n",
"potassium_max 4.9 \n",
"proteintotal_max 7.2 \n",
"prothrombintime_max 11.7 \n",
"ptt_max 23.6 \n",
"rbc_max 6.6 \n",
"rbc/hpf_max NaN \n",
"rdw_max 17.6 \n",
"sodium_max 144 \n",
"troponini(poc)_max 0.06 \n",
"troponint_max NaN \n",
"tsh_max 2.61 \n",
"wbc_max 6.8 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 0.7 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median 52 \n",
"albumin_median 3.3 \n",
"alkphos_median 210 \n",
"anc(absneutrophilcount)_median 3.7 \n",
"aniongap_median 13 \n",
"aspartateaminotransferase(ast)_median 54 \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median 12 \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 0 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median 1.02 \n",
"bun_median 13 \n",
"bun/creatratio_median 20 \n",
"calcium_median 9.1 \n",
"calculatedco2(poc)_median 36.5 \n",
"calculatedhco3(poc)i_median 36.5 \n",
"calculatedo2saturation(poc)_median 66 \n",
"chloride_median 101 \n",
"cktotal_median 265 \n",
"co2_median 28.2 \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median 33 \n",
"creatinine_median 0.6 \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 2 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median 3.9 \n",
"glucose_median 125 \n",
"glucose,meter_median 179 \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 52.7 \n",
"hemoglobin_median 17.1 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median 1.06 \n",
"lactate,poc_median 1 \n",
"lipase_median NaN \n",
"lymphs_median 17 \n",
"magnesium_median NaN \n",
"mch_median 28.2 \n",
"mchc_median 31.85 \n",
"mcv_median 88.5 \n",
"monocytes_median 4.5 \n",
"monosabs_median NaN \n",
"mpv_median 10.4 \n",
"neutrophils_median 75 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median 53 \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 93.5 \n",
"po2(poc)_median 34 \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 13 \n",
"poccreatinine_median 0.75 \n",
"pocglucose_median 132.5 \n",
"pochematocrit_median 57 \n",
"pocionizedcalcium_median 4.2 \n",
"pocph_median 7.45 \n",
"pocpotassium_median 4.7 \n",
"pocsodium_median 141 \n",
"poctroponini._median NaN \n",
"potassium_median 4.45 \n",
"proteintotal_median 7.2 \n",
"prothrombintime_median 11.7 \n",
"ptt_median 23.6 \n",
"rbc_median 5.95 \n",
"rbc/hpf_median NaN \n",
"rdw_median 16.9 \n",
"sodium_median 140 \n",
"troponini(poc)_median 0.06 \n",
"troponint_median NaN \n",
"tsh_median 2.61 \n",
"wbc_median 4.9 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 1 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 1 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 1 \n",
"glucoseua_count 1 \n",
"ketonesua_count 1 \n",
"leukocytesua_count 1 \n",
"nitriteua_count 1 \n",
"pregtestur_count 0 \n",
"proteinua_count 1 \n",
"bloodculture,routine_count 2 \n",
"urineculture,routine_count 1 \n",
"triage_vital_hr 89 \n",
"triage_vital_sbp 135 \n",
"triage_vital_dbp 92 \n",
"triage_vital_rr 18 \n",
"triage_vital_o2 98 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 97.5 \n",
"pulse_last 70 \n",
"resp_last 17 \n",
"spo2_last 98 \n",
"temp_last 98 \n",
"sbp_last 106 \n",
"dbp_last 73 \n",
"o2_device_last 0 \n",
"pulse_min 68 \n",
"resp_min 14 \n",
"spo2_min 91 \n",
"temp_min 96.4 \n",
"sbp_min 98 \n",
"dbp_min 64 \n",
"o2_device_min 0 \n",
"pulse_max 89 \n",
"resp_max 20 \n",
"spo2_max 99 \n",
"temp_max 98.4 \n",
"sbp_max 144 \n",
"dbp_max 94 \n",
"o2_device_max 1 \n",
"pulse_median 72.5 \n",
"resp_median 16 \n",
"spo2_median 95 \n",
"temp_median 97.6 \n",
"sbp_median 120 \n",
"dbp_median 76 \n",
"o2_device_median 0 \n",
"cxr_count 3 \n",
"echo_count 0 \n",
"ekg_count 5 \n",
"headct_count 1 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 0 \n",
"otherus_count 0 \n",
"otherxr_count 3 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 0 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 0 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 0 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 0 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 0 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 0 \n",
"meds_herbals 0 \n",
"meds_hormones 0 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 0 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 8 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 1 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 560484 \\\n",
"dep_name A \n",
"esi 3 \n",
"age 50 \n",
"gender Male \n",
"ethnicity Non-Hispanic \n",
"race White or Caucasian \n",
"lang English \n",
"religion Episcopal \n",
"maritalstatus Single \n",
"employstatus Disabled \n",
"insurance_status Medicare \n",
"disposition Admit \n",
"arrivalmode ambulance \n",
"arrivalmonth April \n",
"arrivalday Friday \n",
"arrivalhour_bin 19-22 \n",
"previousdispo Discharge \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 1 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 1 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 1 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 1 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 1 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 1 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 1 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 1 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 1 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 1 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 1 \n",
"otbnignneo 1 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 1 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 1 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 1 \n",
"othinfectns 0 \n",
"othliverdx 1 \n",
"othlowresp 1 \n",
"othmalegen 1 \n",
"othnervdx 1 \n",
"othskindx 1 \n",
"othveindx 0 \n",
"otinflskin 1 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 1 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 1 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 1 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 1 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 7 \n",
"n_admissions 4 \n",
"absolutelymphocytecount_last 0.7 \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last 2 \n",
"aniongap_last 10 \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last 0 \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last 14 \n",
"bun/creatratio_last 23.3 \n",
"calcium_last 9.4 \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last 102 \n",
"cktotal_last NaN \n",
"co2_last 31.7 \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last NaN \n",
"creatinine_last 0.6 \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last 4 \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last 145 \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last 53 \n",
"hemoglobin_last 17.1 \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last 0.98 \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last 24 \n",
"magnesium_last NaN \n",
"mch_last 29.7 \n",
"mchc_last 32.3 \n",
"mcv_last 92 \n",
"monocytes_last 7 \n",
"monosabs_last NaN \n",
"mpv_last 10.4 \n",
"neutrophils_last 66 \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last 68 \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last NaN \n",
"poccreatinine_last NaN \n",
"pocglucose_last NaN \n",
"pochematocrit_last NaN \n",
"pocionizedcalcium_last NaN \n",
"pocph_last NaN \n",
"pocpotassium_last NaN \n",
"pocsodium_last NaN \n",
"poctroponini._last NaN \n",
"potassium_last 4.6 \n",
"proteintotal_last NaN \n",
"prothrombintime_last 10.9 \n",
"ptt_last NaN \n",
"rbc_last 5.8 \n",
"rbc/hpf_last NaN \n",
"rdw_last 16.6 \n",
"sodium_last 144 \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last 3 \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 0.5 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min 52 \n",
"albumin_min 3.3 \n",
"alkphos_min 210 \n",
"anc(absneutrophilcount)_min 2 \n",
"aniongap_min 10 \n",
"aspartateaminotransferase(ast)_min 54 \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min 12 \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 0 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min 1.02 \n",
"bun_min 11 \n",
"bun/creatratio_min 18.3 \n",
"calcium_min 8.8 \n",
"calculatedco2(poc)_min 35 \n",
"calculatedhco3(poc)i_min 36.5 \n",
"calculatedo2saturation(poc)_min 66 \n",
"chloride_min 98 \n",
"cktotal_min 265 \n",
"co2_min 24.1 \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min 33 \n",
"creatinine_min 0.5 \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 1 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min 3.9 \n",
"glucose_min 95 \n",
"glucose,meter_min 172 \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 45.9 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min 0.98 \n",
"lactate,poc_min 1 \n",
"lipase_min NaN \n",
"lymphs_min 7 \n",
"magnesium_min NaN \n",
"mch_min 27.9 \n",
"mchc_min 31.6 \n",
"mcv_min 87 \n",
"monocytes_min 4 \n",
"monosabs_min NaN \n",
"mpv_min 9.2 \n",
"neutrophils_min 66 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min 53 \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 68 \n",
"po2(poc)_min 34 \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 12 \n",
"poccreatinine_min 0.7 \n",
"pocglucose_min 98 \n",
"pochematocrit_min 55 \n",
"pocionizedcalcium_min 3.9 \n",
"pocph_min 7.45 \n",
"pocpotassium_min 2.6 \n",
"pocsodium_min 139 \n",
"poctroponini._min NaN \n",
"potassium_min 3 \n",
"proteintotal_min 7.2 \n",
"prothrombintime_min 10.9 \n",
"ptt_min 23.6 \n",
"rbc_min 5.2 \n",
"rbc/hpf_min NaN \n",
"rdw_min 16.2 \n",
"sodium_min 137 \n",
"troponini(poc)_min 0.06 \n",
"troponint_min NaN \n",
"tsh_min 2.61 \n",
"wbc_min 3 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max 52 \n",
"albumin_max 3.3 \n",
"alkphos_max 210 \n",
"anc(absneutrophilcount)_max 5.9 \n",
"aniongap_max 15 \n",
"aspartateaminotransferase(ast)_max 54 \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max 12 \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 1 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max 1.02 \n",
"bun_max 17 \n",
"bun/creatratio_max 24.3 \n",
"calcium_max 9.6 \n",
"calculatedco2(poc)_max 38 \n",
"calculatedhco3(poc)i_max 36.5 \n",
"calculatedo2saturation(poc)_max 66 \n",
"chloride_max 102 \n",
"cktotal_max 265 \n",
"co2_max 35 \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max 33 \n",
"creatinine_max 0.7 \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 4 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max 3.9 \n",
"glucose_max 168 \n",
"glucose,meter_max 186 \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 58 \n",
"hemoglobin_max 18.5 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max 1.06 \n",
"lactate,poc_max 1 \n",
"lipase_max NaN \n",
"lymphs_max 24 \n",
"magnesium_max NaN \n",
"mch_max 30.3 \n",
"mchc_max 33.3 \n",
"mcv_max 92 \n",
"monocytes_max 7 \n",
"monosabs_max NaN \n",
"mpv_max 11.1 \n",
"neutrophils_max 88 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max 53 \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 116 \n",
"po2(poc)_max 34 \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 14 \n",
"poccreatinine_max 0.8 \n",
"pocglucose_max 177 \n",
"pochematocrit_max 59 \n",
"pocionizedcalcium_max 4.5 \n",
"pocph_max 7.45 \n",
"pocpotassium_max 6.8 \n",
"pocsodium_max 143 \n",
"poctroponini._max NaN \n",
"potassium_max 4.9 \n",
"proteintotal_max 7.2 \n",
"prothrombintime_max 11.7 \n",
"ptt_max 23.6 \n",
"rbc_max 6.6 \n",
"rbc/hpf_max NaN \n",
"rdw_max 17.6 \n",
"sodium_max 144 \n",
"troponini(poc)_max 0.06 \n",
"troponint_max NaN \n",
"tsh_max 2.61 \n",
"wbc_max 6.8 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 0.7 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median 52 \n",
"albumin_median 3.3 \n",
"alkphos_median 210 \n",
"anc(absneutrophilcount)_median 3.7 \n",
"aniongap_median 13 \n",
"aspartateaminotransferase(ast)_median 54 \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median 12 \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 0 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median 1.02 \n",
"bun_median 13.5 \n",
"bun/creatratio_median 20.7 \n",
"calcium_median 9.1 \n",
"calculatedco2(poc)_median 36.5 \n",
"calculatedhco3(poc)i_median 36.5 \n",
"calculatedo2saturation(poc)_median 66 \n",
"chloride_median 101 \n",
"cktotal_median 265 \n",
"co2_median 28.6 \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median 33 \n",
"creatinine_median 0.6 \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 2 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median 3.9 \n",
"glucose_median 130.5 \n",
"glucose,meter_median 179 \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 53 \n",
"hemoglobin_median 17.1 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median 1.02 \n",
"lactate,poc_median 1 \n",
"lipase_median NaN \n",
"lymphs_median 18 \n",
"magnesium_median NaN \n",
"mch_median 28.4 \n",
"mchc_median 31.9 \n",
"mcv_median 89 \n",
"monocytes_median 5 \n",
"monosabs_median NaN \n",
"mpv_median 10.4 \n",
"neutrophils_median 74 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median 53 \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 93 \n",
"po2(poc)_median 34 \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 13 \n",
"poccreatinine_median 0.75 \n",
"pocglucose_median 132.5 \n",
"pochematocrit_median 57 \n",
"pocionizedcalcium_median 4.2 \n",
"pocph_median 7.45 \n",
"pocpotassium_median 4.7 \n",
"pocsodium_median 141 \n",
"poctroponini._median NaN \n",
"potassium_median 4.6 \n",
"proteintotal_median 7.2 \n",
"prothrombintime_median 11.3 \n",
"ptt_median 23.6 \n",
"rbc_median 5.8 \n",
"rbc/hpf_median NaN \n",
"rdw_median 16.8 \n",
"sodium_median 140.5 \n",
"troponini(poc)_median 0.06 \n",
"troponint_median NaN \n",
"tsh_median 2.61 \n",
"wbc_median 4.8 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 1 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 1 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 1 \n",
"glucoseua_count 1 \n",
"ketonesua_count 1 \n",
"leukocytesua_count 1 \n",
"nitriteua_count 1 \n",
"pregtestur_count 0 \n",
"proteinua_count 1 \n",
"bloodculture,routine_count 2 \n",
"urineculture,routine_count 1 \n",
"triage_vital_hr 77 \n",
"triage_vital_sbp 118 \n",
"triage_vital_dbp 73 \n",
"triage_vital_rr 16 \n",
"triage_vital_o2 94 \n",
"triage_vital_o2_device 0 \n",
"triage_vital_temp 98 \n",
"pulse_last 81 \n",
"resp_last 18 \n",
"spo2_last 95 \n",
"temp_last 96.4 \n",
"sbp_last 145 \n",
"dbp_last 96 \n",
"o2_device_last 0 \n",
"pulse_min 68 \n",
"resp_min 14 \n",
"spo2_min 91 \n",
"temp_min 96.4 \n",
"sbp_min 98 \n",
"dbp_min 64 \n",
"o2_device_min 0 \n",
"pulse_max 89 \n",
"resp_max 20 \n",
"spo2_max 99 \n",
"temp_max 98.4 \n",
"sbp_max 145 \n",
"dbp_max 96 \n",
"o2_device_max 1 \n",
"pulse_median 73 \n",
"resp_median 16 \n",
"spo2_median 95 \n",
"temp_median 97.55 \n",
"sbp_median 121 \n",
"dbp_median 76 \n",
"o2_device_median 0 \n",
"cxr_count 3 \n",
"echo_count 0 \n",
"ekg_count 5 \n",
"headct_count 1 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 1 \n",
"otherus_count 1 \n",
"otherxr_count 4 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 1 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 1 \n",
"meds_antibiotics 2 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 2 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 1 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 2 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 2 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 2 \n",
"meds_herbals 0 \n",
"meds_hormones 1 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 3 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 5 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 8 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 1 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 0 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 \n",
"\n",
" 560485 \n",
"dep_name A \n",
"esi 3 \n",
"age 50 \n",
"gender Male \n",
"ethnicity Non-Hispanic \n",
"race White or Caucasian \n",
"lang English \n",
"religion Episcopal \n",
"maritalstatus Single \n",
"employstatus Disabled \n",
"insurance_status Medicare \n",
"disposition Admit \n",
"arrivalmode ambulance \n",
"arrivalmonth May \n",
"arrivalday Thursday \n",
"arrivalhour_bin 19-22 \n",
"previousdispo Admit \n",
"2ndarymalig 0 \n",
"abdomhernia 0 \n",
"abdomnlpain 0 \n",
"abortcompl 0 \n",
"acqfootdef 0 \n",
"acrenlfail 0 \n",
"acutecvd 0 \n",
"acutemi 0 \n",
"acutphanm 0 \n",
"adjustmentdisorders 0 \n",
"adltrespfl 0 \n",
"alcoholrelateddisorders 0 \n",
"allergy 0 \n",
"amniosdx 0 \n",
"analrectal 0 \n",
"anemia 0 \n",
"aneurysm 0 \n",
"anxietydisorders 0 \n",
"appendicitis 0 \n",
"artembolism 0 \n",
"asppneumon 0 \n",
"asthma 1 \n",
"attentiondeficitconductdisruptivebeha 0 \n",
"backproblem 0 \n",
"biliarydx 0 \n",
"birthasphyx 0 \n",
"birthtrauma 0 \n",
"bladdercncr 0 \n",
"blindness 1 \n",
"bnignutneo 0 \n",
"bonectcncr 0 \n",
"bph 0 \n",
"brainnscan 0 \n",
"breastcancr 0 \n",
"breastdx 0 \n",
"brnchlngca 0 \n",
"bronchitis 0 \n",
"burns 0 \n",
"cardiaarrst 0 \n",
"cardiacanom 0 \n",
"carditis 1 \n",
"cataract 0 \n",
"cervixcancr 0 \n",
"chestpain 0 \n",
"chfnonhp 1 \n",
"chrkidneydisease 0 \n",
"coaghemrdx 0 \n",
"coloncancer 0 \n",
"comabrndmg 0 \n",
"complicdevi 0 \n",
"complicproc 0 \n",
"conduction 1 \n",
"contraceptiv 0 \n",
"copd 0 \n",
"coronathero 0 \n",
"crushinjury 0 \n",
"cysticfibro 0 \n",
"deliriumdementiaamnesticothercognitiv 0 \n",
"developmentaldisorders 0 \n",
"diabmelnoc 1 \n",
"diabmelwcm 0 \n",
"disordersusuallydiagnosedininfancych 0 \n",
"diverticulos 0 \n",
"dizziness 0 \n",
"dminpreg 0 \n",
"dysrhythmia 1 \n",
"earlylabor 0 \n",
"ecodesadverseeffectsofmedicalcare 0 \n",
"ecodesadverseeffectsofmedicaldrugs 0 \n",
"ecodescutpierce 0 \n",
"ecodesdrowningsubmersion 0 \n",
"ecodesfall 0 \n",
"ecodesfirearm 0 \n",
"ecodesfireburn 0 \n",
"ecodesmachinery 0 \n",
"ecodesmotorvehicletrafficmvt 0 \n",
"ecodesnaturalenvironment 0 \n",
"ecodesotherspecifiedandclassifiable 0 \n",
"ecodesotherspecifiednec 0 \n",
"ecodespedalcyclistnotmvt 0 \n",
"ecodesplaceofoccurrence 0 \n",
"ecodespoisoning 0 \n",
"ecodesstruckbyagainst 0 \n",
"ecodessuffocation 0 \n",
"ecodestransportnotmvt 0 \n",
"ecodesunspecified 0 \n",
"ectopicpreg 0 \n",
"encephalitis 0 \n",
"endometrios 0 \n",
"epilepsycnv 0 \n",
"esophcancer 0 \n",
"esophgealdx 0 \n",
"exameval 0 \n",
"eyeinfectn 0 \n",
"fatigue 1 \n",
"femgenitca 0 \n",
"feminfertil 0 \n",
"fetaldistrs 0 \n",
"fluidelcdx 0 \n",
"fuo 0 \n",
"fxarm 0 \n",
"fxhip 0 \n",
"fxleg 0 \n",
"fxskullfac 0 \n",
"gangrene 0 \n",
"gasduoulcer 0 \n",
"gastritis 0 \n",
"gastroent 0 \n",
"giconganom 0 \n",
"gihemorrhag 0 \n",
"giperitcan 0 \n",
"glaucoma 0 \n",
"goutotcrys 0 \n",
"guconganom 0 \n",
"hdnckcancr 0 \n",
"headachemig 0 \n",
"hemmorhoids 0 \n",
"hemorrpreg 0 \n",
"hepatitis 0 \n",
"hivinfectn 0 \n",
"hodgkinsds 0 \n",
"hrtvalvedx 0 \n",
"htn 0 \n",
"htncomplicn 0 \n",
"htninpreg 0 \n",
"hyperlipidem 0 \n",
"immunitydx 0 \n",
"immunizscrn 0 \n",
"impulsecontroldisordersnec 0 \n",
"inducabortn 0 \n",
"infectarth 0 \n",
"influenza 0 \n",
"infmalegen 0 \n",
"intestinfct 0 \n",
"intobstruct 0 \n",
"intracrninj 0 \n",
"jointinjury 0 \n",
"kidnyrnlca 0 \n",
"lateeffcvd 0 \n",
"leukemias 1 \n",
"liveborn 0 \n",
"liveribdca 0 \n",
"longpregncy 0 \n",
"lowbirthwt 0 \n",
"lungexternl 0 \n",
"lymphenlarg 0 \n",
"maintchemr 0 \n",
"malgenitca 0 \n",
"maligneopls 0 \n",
"malposition 0 \n",
"meningitis 0 \n",
"menopausldx 0 \n",
"menstrualdx 0 \n",
"miscellaneousmentalhealthdisorders 0 \n",
"mooddisorders 1 \n",
"mouthdx 0 \n",
"ms 0 \n",
"multmyeloma 0 \n",
"mycoses 0 \n",
"nauseavomit 0 \n",
"neoplsmunsp 0 \n",
"nephritis 0 \n",
"nervcongan 0 \n",
"nonepithca 0 \n",
"nonhodglym 0 \n",
"nutritdefic 0 \n",
"obrelatedperintrauma 0 \n",
"opnwndextr 0 \n",
"opnwndhead 0 \n",
"osteoarthros 0 \n",
"osteoporosis 0 \n",
"otacqdefor 0 \n",
"otaftercare 1 \n",
"otbnignneo 1 \n",
"otbonedx 0 \n",
"otcirculdx 0 \n",
"otcomplbir 0 \n",
"otconganom 0 \n",
"otconntiss 0 \n",
"otdxbladdr 0 \n",
"otdxkidney 0 \n",
"otdxstomch 0 \n",
"otendodsor 1 \n",
"otfemalgen 0 \n",
"othbactinf 0 \n",
"othcnsinfx 0 \n",
"othematldx 0 \n",
"othercvd 0 \n",
"othereardx 0 \n",
"otheredcns 0 \n",
"othereyedx 0 \n",
"othergidx 1 \n",
"othergudx 0 \n",
"otherinjury 0 \n",
"otherpregnancyanddeliveryincludingnormal 0 \n",
"otherscreen 0 \n",
"othfracture 0 \n",
"othheartdx 1 \n",
"othinfectns 0 \n",
"othliverdx 1 \n",
"othlowresp 1 \n",
"othmalegen 1 \n",
"othnervdx 1 \n",
"othskindx 1 \n",
"othveindx 0 \n",
"otinflskin 1 \n",
"otitismedia 0 \n",
"otjointdx 1 \n",
"otnutritdx 1 \n",
"otperintdx 0 \n",
"otpregcomp 0 \n",
"otprimryca 0 \n",
"otrespirca 0 \n",
"otupprresp 0 \n",
"otuprspin 0 \n",
"ovariancyst 0 \n",
"ovarycancer 0 \n",
"pancreascan 0 \n",
"pancreasdx 0 \n",
"paralysis 0 \n",
"parkinsons 0 \n",
"pathologfx 0 \n",
"pelvicobstr 0 \n",
"perintjaund 0 \n",
"peripathero 0 \n",
"peritonitis 0 \n",
"personalitydisorders 0 \n",
"phlebitis 0 \n",
"pid 0 \n",
"pleurisy 0 \n",
"pneumonia 1 \n",
"poisnnonmed 0 \n",
"poisnotmed 0 \n",
"poisonpsych 0 \n",
"precereoccl 0 \n",
"prevcsectn 0 \n",
"prolapse 0 \n",
"prostatecan 0 \n",
"pulmhartdx 0 \n",
"rctmanusca 0 \n",
"rehab 0 \n",
"respdistres 0 \n",
"retinaldx 0 \n",
"rheumarth 0 \n",
"schizophreniaandotherpsychoticdisorde 0 \n",
"screeningandhistoryofmentalhealthan 0 \n",
"septicemia 0 \n",
"septicemiaexceptinlabor 0 \n",
"sexualinfxs 0 \n",
"shock 0 \n",
"sicklecell 0 \n",
"skininfectn 0 \n",
"skinmelanom 1 \n",
"sle 0 \n",
"socialadmin 0 \n",
"spincorinj 0 \n",
"spontabortn 0 \n",
"sprain 0 \n",
"stomchcancr 0 \n",
"substancerelateddisorders 0 \n",
"suicideandintentionalselfinflictedin 0 \n",
"superficinj 0 \n",
"syncope 0 \n",
"teethdx 0 \n",
"testiscancr 0 \n",
"thyroidcncr 0 \n",
"thyroiddsor 0 \n",
"tia 0 \n",
"tonsillitis 0 \n",
"tuberculosis 0 \n",
"ulceratcol 0 \n",
"ulcerskin 0 \n",
"umbilcord 0 \n",
"unclassified 1 \n",
"urinstone 0 \n",
"urinyorgca 0 \n",
"uteruscancr 0 \n",
"uti 0 \n",
"varicosevn 0 \n",
"viralinfect 0 \n",
"whtblooddx 0 \n",
"n_edvisits 7 \n",
"n_admissions 4 \n",
"absolutelymphocytecount_last NaN \n",
"acetonebld_last NaN \n",
"alanineaminotransferase(alt)_last NaN \n",
"albumin_last NaN \n",
"alkphos_last NaN \n",
"anc(absneutrophilcount)_last NaN \n",
"aniongap_last 12 \n",
"aspartateaminotransferase(ast)_last NaN \n",
"b-typenatriureticpeptide,pro(probnp)_last NaN \n",
"baseexcess(poc)_last NaN \n",
"baseexcess,venous(poc)_last NaN \n",
"basos_last NaN \n",
"basosabs_last NaN \n",
"benzodiazepinesscreen,urine,noconf._last NaN \n",
"bilirubindirect_last NaN \n",
"bilirubintotal_last NaN \n",
"bun_last 12 \n",
"bun/creatratio_last 20 \n",
"calcium_last 9.3 \n",
"calculatedco2(poc)_last NaN \n",
"calculatedhco3(poc)i_last NaN \n",
"calculatedo2saturation(poc)_last NaN \n",
"chloride_last 103 \n",
"cktotal_last NaN \n",
"co2_last 28.5 \n",
"co2calculated,venous(poc)_last NaN \n",
"co2,poc_last 34 \n",
"creatinine_last 0.6 \n",
"d-dimer_last NaN \n",
"egfr_last NaN \n",
"egfr(nonafricanamerican)_last NaN \n",
"egfr(aframer)_last NaN \n",
"eos_last NaN \n",
"eosinoabs_last NaN \n",
"epithelialcells_last NaN \n",
"globulin_last NaN \n",
"glucose_last 130 \n",
"glucose,meter_last NaN \n",
"hco3calculated,venous(poc)_last NaN \n",
"hematocrit_last NaN \n",
"hemoglobin_last NaN \n",
"immaturegrans(abs)_last NaN \n",
"immaturegranulocytes_last NaN \n",
"inr_last NaN \n",
"lactate,poc_last NaN \n",
"lipase_last NaN \n",
"lymphs_last NaN \n",
"magnesium_last NaN \n",
"mch_last NaN \n",
"mchc_last NaN \n",
"mcv_last NaN \n",
"monocytes_last NaN \n",
"monosabs_last NaN \n",
"mpv_last NaN \n",
"neutrophils_last NaN \n",
"nrbc_last NaN \n",
"nrbcabsolute_last NaN \n",
"o2satcalculated,venous(poc)_last NaN \n",
"pco2(poc)_last NaN \n",
"pco2,venous(poc)_last NaN \n",
"ph,venous(poc)_last NaN \n",
"phencyclidine(pcp)screen,urine,noconf._last NaN \n",
"phosphorus_last NaN \n",
"platelets_last NaN \n",
"po2(poc)_last NaN \n",
"po2,venous(poc)_last NaN \n",
"pocbun_last 14 \n",
"poccreatinine_last 0.8 \n",
"pocglucose_last 94 \n",
"pochematocrit_last 52 \n",
"pocionizedcalcium_last 4.8 \n",
"pocph_last NaN \n",
"pocpotassium_last 4.2 \n",
"pocsodium_last 143 \n",
"poctroponini._last NaN \n",
"potassium_last 4.8 \n",
"proteintotal_last NaN \n",
"prothrombintime_last NaN \n",
"ptt_last NaN \n",
"rbc_last NaN \n",
"rbc/hpf_last NaN \n",
"rdw_last NaN \n",
"sodium_last 143 \n",
"troponini(poc)_last NaN \n",
"troponint_last NaN \n",
"tsh_last NaN \n",
"wbc_last NaN \n",
"wbc/hpf_last NaN \n",
"absolutelymphocytecount_min 0.5 \n",
"acetonebld_min NaN \n",
"alanineaminotransferase(alt)_min 52 \n",
"albumin_min 3.3 \n",
"alkphos_min 210 \n",
"anc(absneutrophilcount)_min 2 \n",
"aniongap_min 10 \n",
"aspartateaminotransferase(ast)_min 54 \n",
"b-typenatriureticpeptide,pro(probnp)_min NaN \n",
"baseexcess(poc)_min 12 \n",
"baseexcess,venous(poc)_min NaN \n",
"basos_min 0 \n",
"basosabs_min NaN \n",
"benzodiazepinesscreen,urine,noconf._min NaN \n",
"bilirubindirect_min NaN \n",
"bilirubintotal_min 1.02 \n",
"bun_min 11 \n",
"bun/creatratio_min 18.3 \n",
"calcium_min 8.9 \n",
"calculatedco2(poc)_min 38 \n",
"calculatedhco3(poc)i_min 36.5 \n",
"calculatedo2saturation(poc)_min 66 \n",
"chloride_min 98 \n",
"cktotal_min 265 \n",
"co2_min 24.1 \n",
"co2calculated,venous(poc)_min NaN \n",
"co2,poc_min 33 \n",
"creatinine_min 0.6 \n",
"d-dimer_min NaN \n",
"egfr_min NaN \n",
"egfr(nonafricanamerican)_min NaN \n",
"egfr(aframer)_min NaN \n",
"eos_min 1 \n",
"eosinoabs_min NaN \n",
"epithelialcells_min NaN \n",
"globulin_min 3.9 \n",
"glucose_min 99 \n",
"glucose,meter_min 172 \n",
"hco3calculated,venous(poc)_min NaN \n",
"hematocrit_min 45.9 \n",
"hemoglobin_min 14.9 \n",
"immaturegrans(abs)_min NaN \n",
"immaturegranulocytes_min NaN \n",
"inr_min 0.98 \n",
"lactate,poc_min 1 \n",
"lipase_min NaN \n",
"lymphs_min 7 \n",
"magnesium_min NaN \n",
"mch_min 27.9 \n",
"mchc_min 31.8 \n",
"mcv_min 87 \n",
"monocytes_min 4 \n",
"monosabs_min NaN \n",
"mpv_min 9.2 \n",
"neutrophils_min 66 \n",
"nrbc_min NaN \n",
"nrbcabsolute_min NaN \n",
"o2satcalculated,venous(poc)_min NaN \n",
"pco2(poc)_min 53 \n",
"pco2,venous(poc)_min NaN \n",
"ph,venous(poc)_min NaN \n",
"phencyclidine(pcp)screen,urine,noconf._min NaN \n",
"phosphorus_min NaN \n",
"platelets_min 68 \n",
"po2(poc)_min 34 \n",
"po2,venous(poc)_min NaN \n",
"pocbun_min 14 \n",
"poccreatinine_min 0.7 \n",
"pocglucose_min 94 \n",
"pochematocrit_min 52 \n",
"pocionizedcalcium_min 3.9 \n",
"pocph_min 7.45 \n",
"pocpotassium_min 4.2 \n",
"pocsodium_min 139 \n",
"poctroponini._min NaN \n",
"potassium_min 4.3 \n",
"proteintotal_min 7.2 \n",
"prothrombintime_min 10.9 \n",
"ptt_min 23.6 \n",
"rbc_min 5.2 \n",
"rbc/hpf_min NaN \n",
"rdw_min 16.3 \n",
"sodium_min 138 \n",
"troponini(poc)_min 0.06 \n",
"troponint_min NaN \n",
"tsh_min NaN \n",
"wbc_min 3 \n",
"wbc/hpf_min NaN \n",
"absolutelymphocytecount_max 1 \n",
"acetonebld_max NaN \n",
"alanineaminotransferase(alt)_max 52 \n",
"albumin_max 3.3 \n",
"alkphos_max 210 \n",
"anc(absneutrophilcount)_max 5.9 \n",
"aniongap_max 15 \n",
"aspartateaminotransferase(ast)_max 54 \n",
"b-typenatriureticpeptide,pro(probnp)_max NaN \n",
"baseexcess(poc)_max 12 \n",
"baseexcess,venous(poc)_max NaN \n",
"basos_max 1 \n",
"basosabs_max NaN \n",
"benzodiazepinesscreen,urine,noconf._max NaN \n",
"bilirubindirect_max NaN \n",
"bilirubintotal_max 1.02 \n",
"bun_max 17 \n",
"bun/creatratio_max 24.3 \n",
"calcium_max 9.6 \n",
"calculatedco2(poc)_max 38 \n",
"calculatedhco3(poc)i_max 36.5 \n",
"calculatedo2saturation(poc)_max 66 \n",
"chloride_max 103 \n",
"cktotal_max 265 \n",
"co2_max 31.7 \n",
"co2calculated,venous(poc)_max NaN \n",
"co2,poc_max 34 \n",
"creatinine_max 0.7 \n",
"d-dimer_max NaN \n",
"egfr_max NaN \n",
"egfr(nonafricanamerican)_max NaN \n",
"egfr(aframer)_max NaN \n",
"eos_max 4 \n",
"eosinoabs_max NaN \n",
"epithelialcells_max NaN \n",
"globulin_max 3.9 \n",
"glucose_max 168 \n",
"glucose,meter_max 186 \n",
"hco3calculated,venous(poc)_max NaN \n",
"hematocrit_max 58 \n",
"hemoglobin_max 18.5 \n",
"immaturegrans(abs)_max NaN \n",
"immaturegranulocytes_max NaN \n",
"inr_max 1.06 \n",
"lactate,poc_max 1 \n",
"lipase_max NaN \n",
"lymphs_max 24 \n",
"magnesium_max NaN \n",
"mch_max 30.3 \n",
"mchc_max 33.3 \n",
"mcv_max 92 \n",
"monocytes_max 7 \n",
"monosabs_max NaN \n",
"mpv_max 11.1 \n",
"neutrophils_max 88 \n",
"nrbc_max NaN \n",
"nrbcabsolute_max NaN \n",
"o2satcalculated,venous(poc)_max NaN \n",
"pco2(poc)_max 53 \n",
"pco2,venous(poc)_max NaN \n",
"ph,venous(poc)_max NaN \n",
"phencyclidine(pcp)screen,urine,noconf._max NaN \n",
"phosphorus_max NaN \n",
"platelets_max 116 \n",
"po2(poc)_max 34 \n",
"po2,venous(poc)_max NaN \n",
"pocbun_max 14 \n",
"poccreatinine_max 0.8 \n",
"pocglucose_max 177 \n",
"pochematocrit_max 55 \n",
"pocionizedcalcium_max 4.8 \n",
"pocph_max 7.45 \n",
"pocpotassium_max 6.8 \n",
"pocsodium_max 143 \n",
"poctroponini._max NaN \n",
"potassium_max 4.9 \n",
"proteintotal_max 7.2 \n",
"prothrombintime_max 11.7 \n",
"ptt_max 23.6 \n",
"rbc_max 6.6 \n",
"rbc/hpf_max NaN \n",
"rdw_max 17.6 \n",
"sodium_max 144 \n",
"troponini(poc)_max 0.06 \n",
"troponint_max NaN \n",
"tsh_max NaN \n",
"wbc_max 6.8 \n",
"wbc/hpf_max NaN \n",
"absolutelymphocytecount_median 0.75 \n",
"acetonebld_median NaN \n",
"alanineaminotransferase(alt)_median 52 \n",
"albumin_median 3.3 \n",
"alkphos_median 210 \n",
"anc(absneutrophilcount)_median 3.35 \n",
"aniongap_median 13 \n",
"aspartateaminotransferase(ast)_median 54 \n",
"b-typenatriureticpeptide,pro(probnp)_median NaN \n",
"baseexcess(poc)_median 12 \n",
"baseexcess,venous(poc)_median NaN \n",
"basos_median 0 \n",
"basosabs_median NaN \n",
"benzodiazepinesscreen,urine,noconf._median NaN \n",
"bilirubindirect_median NaN \n",
"bilirubintotal_median 1.02 \n",
"bun_median 13 \n",
"bun/creatratio_median 20.7 \n",
"calcium_median 9.2 \n",
"calculatedco2(poc)_median 38 \n",
"calculatedhco3(poc)i_median 36.5 \n",
"calculatedo2saturation(poc)_median 66 \n",
"chloride_median 101 \n",
"cktotal_median 265 \n",
"co2_median 28.35 \n",
"co2calculated,venous(poc)_median NaN \n",
"co2,poc_median 33.5 \n",
"creatinine_median 0.6 \n",
"d-dimer_median NaN \n",
"egfr_median NaN \n",
"egfr(nonafricanamerican)_median NaN \n",
"egfr(aframer)_median NaN \n",
"eos_median 2.5 \n",
"eosinoabs_median NaN \n",
"epithelialcells_median NaN \n",
"globulin_median 3.9 \n",
"glucose_median 133 \n",
"glucose,meter_median 179 \n",
"hco3calculated,venous(poc)_median NaN \n",
"hematocrit_median 52.1 \n",
"hemoglobin_median 17.05 \n",
"immaturegrans(abs)_median NaN \n",
"immaturegranulocytes_median NaN \n",
"inr_median 1.02 \n",
"lactate,poc_median 1 \n",
"lipase_median NaN \n",
"lymphs_median 18.5 \n",
"magnesium_median NaN \n",
"mch_median 28.55 \n",
"mchc_median 32.1 \n",
"mcv_median 88.5 \n",
"monocytes_median 5 \n",
"monosabs_median NaN \n",
"mpv_median 10.45 \n",
"neutrophils_median 74 \n",
"nrbc_median NaN \n",
"nrbcabsolute_median NaN \n",
"o2satcalculated,venous(poc)_median NaN \n",
"pco2(poc)_median 53 \n",
"pco2,venous(poc)_median NaN \n",
"ph,venous(poc)_median NaN \n",
"phencyclidine(pcp)screen,urine,noconf._median NaN \n",
"phosphorus_median NaN \n",
"platelets_median 91.5 \n",
"po2(poc)_median 34 \n",
"po2,venous(poc)_median NaN \n",
"pocbun_median 14 \n",
"poccreatinine_median 0.75 \n",
"pocglucose_median 132.5 \n",
"pochematocrit_median 53.5 \n",
"pocionizedcalcium_median 4.35 \n",
"pocph_median 7.45 \n",
"pocpotassium_median 5.5 \n",
"pocsodium_median 141 \n",
"poctroponini._median NaN \n",
"potassium_median 4.6 \n",
"proteintotal_median 7.2 \n",
"prothrombintime_median 11.3 \n",
"ptt_median 23.6 \n",
"rbc_median 5.8 \n",
"rbc/hpf_median NaN \n",
"rdw_median 16.9 \n",
"sodium_median 142 \n",
"troponini(poc)_median 0.06 \n",
"troponint_median NaN \n",
"tsh_median NaN \n",
"wbc_median 4.55 \n",
"wbc/hpf_median NaN \n",
"bloodua_last 0 \n",
"glucoseua_last 1 \n",
"ketonesua_last 0 \n",
"leukocytesua_last 0 \n",
"nitriteua_last 0 \n",
"pregtestur_last 0 \n",
"proteinua_last 0 \n",
"bloodculture,routine_last 0 \n",
"urineculture,routine_last 0 \n",
"bloodua_npos 0 \n",
"glucoseua_npos 1 \n",
"ketonesua_npos 0 \n",
"leukocytesua_npos 0 \n",
"nitriteua_npos 0 \n",
"pregtestur_npos 0 \n",
"proteinua_npos 0 \n",
"bloodculture,routine_npos 0 \n",
"urineculture,routine_npos 0 \n",
"bloodua_count 1 \n",
"glucoseua_count 1 \n",
"ketonesua_count 1 \n",
"leukocytesua_count 1 \n",
"nitriteua_count 1 \n",
"pregtestur_count 0 \n",
"proteinua_count 1 \n",
"bloodculture,routine_count 2 \n",
"urineculture,routine_count 1 \n",
"triage_vital_hr NaN \n",
"triage_vital_sbp NaN \n",
"triage_vital_dbp NaN \n",
"triage_vital_rr NaN \n",
"triage_vital_o2 NaN \n",
"triage_vital_o2_device NaN \n",
"triage_vital_temp NaN \n",
"pulse_last 70 \n",
"resp_last 16 \n",
"spo2_last 98 \n",
"temp_last 96.8 \n",
"sbp_last 118 \n",
"dbp_last 78 \n",
"o2_device_last 0 \n",
"pulse_min 68 \n",
"resp_min 14 \n",
"spo2_min 91 \n",
"temp_min 96.4 \n",
"sbp_min 98 \n",
"dbp_min 64 \n",
"o2_device_min 0 \n",
"pulse_max 89 \n",
"resp_max 20 \n",
"spo2_max 99 \n",
"temp_max 98.4 \n",
"sbp_max 145 \n",
"dbp_max 96 \n",
"o2_device_max 1 \n",
"pulse_median 72.5 \n",
"resp_median 16 \n",
"spo2_median 95 \n",
"temp_median 97.6 \n",
"sbp_median 119.5 \n",
"dbp_median 74.5 \n",
"o2_device_median 0 \n",
"cxr_count 2 \n",
"echo_count 0 \n",
"ekg_count 4 \n",
"headct_count 0 \n",
"mri_count 0 \n",
"otherct_count 0 \n",
"otherimg_count 1 \n",
"otherus_count 1 \n",
"otherxr_count 5 \n",
"meds_analgesicandantihistaminecombination 0 \n",
"meds_analgesics 0 \n",
"meds_anesthetics 0 \n",
"meds_anti-obesitydrugs 0 \n",
"meds_antiallergy 0 \n",
"meds_antiarthritics 0 \n",
"meds_antiasthmatics 1 \n",
"meds_antibiotics 0 \n",
"meds_anticoagulants 0 \n",
"meds_antidotes 0 \n",
"meds_antifungals 0 \n",
"meds_antihistamineanddecongestantcombination 0 \n",
"meds_antihistamines 0 \n",
"meds_antihyperglycemics 2 \n",
"meds_antiinfectives 0 \n",
"meds_antiinfectives/miscellaneous 0 \n",
"meds_antineoplastics 0 \n",
"meds_antiparkinsondrugs 0 \n",
"meds_antiplateletdrugs 1 \n",
"meds_antivirals 0 \n",
"meds_autonomicdrugs 0 \n",
"meds_biologicals 0 \n",
"meds_blood 0 \n",
"meds_cardiacdrugs 2 \n",
"meds_cardiovascular 0 \n",
"meds_cnsdrugs 0 \n",
"meds_colonystimulatingfactors 0 \n",
"meds_contraceptives 0 \n",
"meds_cough/coldpreparations 0 \n",
"meds_diagnostic 0 \n",
"meds_diuretics 2 \n",
"meds_eentpreps 0 \n",
"meds_elect/caloric/h2o 0 \n",
"meds_gastrointestinal 1 \n",
"meds_herbals 0 \n",
"meds_hormones 1 \n",
"meds_immunosuppressants 0 \n",
"meds_investigational 0 \n",
"meds_miscellaneousmedicalsupplies,devices,non-drug 0 \n",
"meds_musclerelaxants 0 \n",
"meds_pre-natalvitamins 0 \n",
"meds_psychotherapeuticdrugs 0 \n",
"meds_sedative/hypnotics 0 \n",
"meds_skinpreps 3 \n",
"meds_smokingdeterrents 0 \n",
"meds_thyroidpreps 0 \n",
"meds_unclassifieddrugproducts 0 \n",
"meds_vitamins 0 \n",
"n_surgeries 8 \n",
"cc_abdominalcramping 0 \n",
"cc_abdominaldistention 0 \n",
"cc_abdominalpain 0 \n",
"cc_abdominalpainpregnant 0 \n",
"cc_abnormallab 0 \n",
"cc_abscess 0 \n",
"cc_addictionproblem 0 \n",
"cc_agitation 0 \n",
"cc_alcoholintoxication 0 \n",
"cc_alcoholproblem 0 \n",
"cc_allergicreaction 0 \n",
"cc_alteredmentalstatus 0 \n",
"cc_animalbite 0 \n",
"cc_ankleinjury 0 \n",
"cc_anklepain 0 \n",
"cc_anxiety 0 \n",
"cc_arminjury 0 \n",
"cc_armpain 0 \n",
"cc_armswelling 0 \n",
"cc_assaultvictim 0 \n",
"cc_asthma 0 \n",
"cc_backpain 0 \n",
"cc_bleeding/bruising 0 \n",
"cc_blurredvision 0 \n",
"cc_bodyfluidexposure 0 \n",
"cc_breastpain 0 \n",
"cc_breathingdifficulty 0 \n",
"cc_breathingproblem 0 \n",
"cc_burn 0 \n",
"cc_cardiacarrest 0 \n",
"cc_cellulitis 0 \n",
"cc_chestpain 0 \n",
"cc_chesttightness 0 \n",
"cc_chills 0 \n",
"cc_coldlikesymptoms 0 \n",
"cc_confusion 0 \n",
"cc_conjunctivitis 0 \n",
"cc_constipation 0 \n",
"cc_cough 0 \n",
"cc_cyst 0 \n",
"cc_decreasedbloodsugar-symptomatic 0 \n",
"cc_dehydration 0 \n",
"cc_dentalpain 0 \n",
"cc_depression 0 \n",
"cc_detoxevaluation 0 \n",
"cc_diarrhea 0 \n",
"cc_dizziness 0 \n",
"cc_drug/alcoholassessment 0 \n",
"cc_drugproblem 0 \n",
"cc_dyspnea 0 \n",
"cc_dysuria 0 \n",
"cc_earpain 0 \n",
"cc_earproblem 0 \n",
"cc_edema 0 \n",
"cc_elbowpain 0 \n",
"cc_elevatedbloodsugar-nosymptoms 0 \n",
"cc_elevatedbloodsugar-symptomatic 0 \n",
"cc_emesis 0 \n",
"cc_epigastricpain 0 \n",
"cc_epistaxis 0 \n",
"cc_exposuretostd 0 \n",
"cc_extremitylaceration 0 \n",
"cc_extremityweakness 0 \n",
"cc_eyeinjury 0 \n",
"cc_eyepain 0 \n",
"cc_eyeproblem 0 \n",
"cc_eyeredness 0 \n",
"cc_facialinjury 0 \n",
"cc_faciallaceration 0 \n",
"cc_facialpain 0 \n",
"cc_facialswelling 0 \n",
"cc_fall 0 \n",
"cc_fall>65 0 \n",
"cc_fatigue 0 \n",
"cc_femaleguproblem 0 \n",
"cc_fever 0 \n",
"cc_fever-75yearsorolder 0 \n",
"cc_fever-9weeksto74years 0 \n",
"cc_feverimmunocompromised 0 \n",
"cc_fingerinjury 0 \n",
"cc_fingerpain 0 \n",
"cc_fingerswelling 0 \n",
"cc_flankpain 0 \n",
"cc_follow-upcellulitis 0 \n",
"cc_footinjury 0 \n",
"cc_footpain 0 \n",
"cc_footswelling 0 \n",
"cc_foreignbodyineye 0 \n",
"cc_fulltrauma 0 \n",
"cc_generalizedbodyaches 0 \n",
"cc_gibleeding 0 \n",
"cc_giproblem 0 \n",
"cc_groinpain 0 \n",
"cc_hallucinations 0 \n",
"cc_handinjury 0 \n",
"cc_handpain 0 \n",
"cc_headache 0 \n",
"cc_headache-newonsetornewsymptoms 0 \n",
"cc_headache-recurrentorknowndxmigraines 0 \n",
"cc_headachere-evaluation 0 \n",
"cc_headinjury 0 \n",
"cc_headlaceration 0 \n",
"cc_hematuria 0 \n",
"cc_hemoptysis 0 \n",
"cc_hippain 0 \n",
"cc_homicidal 0 \n",
"cc_hyperglycemia 0 \n",
"cc_hypertension 0 \n",
"cc_hypotension 0 \n",
"cc_influenza 0 \n",
"cc_ingestion 0 \n",
"cc_insectbite 0 \n",
"cc_irregularheartbeat 0 \n",
"cc_jawpain 0 \n",
"cc_jointswelling 0 \n",
"cc_kneeinjury 0 \n",
"cc_kneepain 0 \n",
"cc_laceration 0 \n",
"cc_leginjury 0 \n",
"cc_legpain 0 \n",
"cc_legswelling 0 \n",
"cc_lethargy 0 \n",
"cc_lossofconsciousness 0 \n",
"cc_maleguproblem 0 \n",
"cc_mass 0 \n",
"cc_medicalproblem 1 \n",
"cc_medicalscreening 0 \n",
"cc_medicationproblem 0 \n",
"cc_medicationrefill 0 \n",
"cc_migraine 0 \n",
"cc_modifiedtrauma 0 \n",
"cc_motorcyclecrash 0 \n",
"cc_motorvehiclecrash 0 \n",
"cc_multiplefalls 0 \n",
"cc_nasalcongestion 0 \n",
"cc_nausea 0 \n",
"cc_nearsyncope 0 \n",
"cc_neckpain 0 \n",
"cc_neurologicproblem 0 \n",
"cc_numbness 0 \n",
"cc_oralswelling 0 \n",
"cc_otalgia 0 \n",
"cc_other 0 \n",
"cc_overdose-accidental 0 \n",
"cc_overdose-intentional 0 \n",
"cc_pain 0 \n",
"cc_palpitations 0 \n",
"cc_panicattack 0 \n",
"cc_pelvicpain 0 \n",
"cc_poisoning 0 \n",
"cc_post-opproblem 0 \n",
"cc_psychiatricevaluation 0 \n",
"cc_psychoticsymptoms 0 \n",
"cc_rapidheartrate 0 \n",
"cc_rash 0 \n",
"cc_rectalbleeding 0 \n",
"cc_rectalpain 0 \n",
"cc_respiratorydistress 0 \n",
"cc_ribinjury 0 \n",
"cc_ribpain 0 \n",
"cc_seizure-newonset 0 \n",
"cc_seizure-priorhxof 0 \n",
"cc_seizures 0 \n",
"cc_shortnessofbreath 0 \n",
"cc_shoulderinjury 0 \n",
"cc_shoulderpain 0 \n",
"cc_sicklecellpain 0 \n",
"cc_sinusproblem 0 \n",
"cc_skinirritation 0 \n",
"cc_skinproblem 0 \n",
"cc_sorethroat 0 \n",
"cc_stdcheck 0 \n",
"cc_strokealert 0 \n",
"cc_suicidal 0 \n",
"cc_suture/stapleremoval 0 \n",
"cc_swallowedforeignbody 0 \n",
"cc_syncope 0 \n",
"cc_tachycardia 0 \n",
"cc_testiclepain 0 \n",
"cc_thumbinjury 0 \n",
"cc_tickremoval 0 \n",
"cc_toeinjury 0 \n",
"cc_toepain 0 \n",
"cc_trauma 0 \n",
"cc_unresponsive 0 \n",
"cc_uri 0 \n",
"cc_urinaryfrequency 0 \n",
"cc_urinaryretention 0 \n",
"cc_urinarytractinfection 0 \n",
"cc_vaginalbleeding 0 \n",
"cc_vaginaldischarge 0 \n",
"cc_vaginalpain 0 \n",
"cc_weakness 0 \n",
"cc_wheezing 0 \n",
"cc_withdrawal-alcohol 0 \n",
"cc_woundcheck 0 \n",
"cc_woundinfection 0 \n",
"cc_woundre-evaluation 0 \n",
"cc_wristinjury 0 \n",
"cc_wristpain 0 "
]
},
"metadata": {
"tags": []
},
"execution_count": 39
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "w5Jz2FAWmj7a",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
},
"outputId": "f2896d5a-f091-432a-db51-8c9a59a2e0ac"
},
"source": [
"print( 'Took ', (t2-t1)/60 , 'minutes to read')\n"
],
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"text": [
"Took 3.627713826166655 to read\n",
"ERROR! Session/line number was not unique in database. History logging moved to new session 71\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "EfBrfekRdjSK",
"colab_type": "text"
},
"source": [
"## D) Extract... ##\n",
"- Triage-related data fields \n",
"- Sex and age"
]
},
{
"cell_type": "code",
"metadata": {
"id": "x9cB4LuBeqbE",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 146
},
"outputId": "7c4a81f8-b784-40e2-bbbe-874b69613baf"
},
"source": [
"import numpy as np\n",
"\n",
"sz=data['df'].shape\n",
"\n",
"triage_data = np.zeros( (sz[0],c) )\n",
"\n",
"c=0\n",
"for k in data['df'].keys():\n",
" if 'triage' in k:\n",
" v = data['df'][k].values \n",
" triage_data[:,c]=v\n",
" c+=1\n",
" print( '%s: \\trange=[%.1f,%.1f], median=%.1f, STD=%.3f'%(k, np.nanmin(v), np.nanmax(v), np.nanmedian(v), np.nanstd(v) ))"
],
"execution_count": 49,
"outputs": [
{
"output_type": "stream",
"text": [
"triage_vital_hr: \trange=[30.0,280.0], median=84.0, STD=16.717\n",
"triage_vital_sbp: \trange=[45.0,312.0], median=131.0, STD=21.319\n",
"triage_vital_dbp: \trange=[25.0,214.0], median=80.0, STD=13.867\n",
"triage_vital_rr: \trange=[8.0,69.0], median=18.0, STD=1.956\n",
"triage_vital_o2: \trange=[60.0,99.0], median=98.0, STD=1.934\n",
"triage_vital_o2_device: \trange=[0.0,1.0], median=0.0, STD=0.197\n",
"triage_vital_temp: \trange=[90.0,106.0], median=98.0, STD=0.784\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "co6H2ALEJLcX",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 129
},
"outputId": "0d2634e1-ea1f-48bc-a8ce-2aae860c3b4a"
},
"source": [
"race = data['df']['race'].values\n",
"\n",
"age = data['df']['age']\n",
"print('Age: IQR' , np.quantile(age,.25), np.quantile(age,.75), np.median(age) )\n",
"sex = data['df']['gender']\n",
"sex = (sex == 'Female' ).astype(int)\n",
"print( np.sum( sex ==1) , np.sum( sex ==0) )\n",
"\n",
"print(race[:4])\n"
],
"execution_count": 66,
"outputs": [
{
"output_type": "stream",
"text": [
"Age: IQR 32.0 64.0 49.0\n",
"309653 250833\n",
"[White or Caucasian, Native Hawaiian or Other Pacific Islander, Native Hawaiian or Other Pacific Islander, Native Hawaiian or Other Pacific Islander]\n",
"Categories (8, object): [American Indian or Alaska Native, Asian, Black or African American,\n",
" Native Hawaiian or Other Pacific Islander, Other, Patient Refused, Unknown, White or Caucasian]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "REeNxh_AcxFV",
"colab_type": "code",
"colab": {}
},
"source": [
"try:\n",
" import umap\n",
"except:\n",
" ! pip install umap-learn\n",
" import umap "
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "hT0GAoMaFuka",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "d634d51c-c0df-44bc-cee1-3560a038a86f"
},
"source": [
"# remove samples with missing data\n",
"include =np.where( np.sum(np.isnan(triage_data),1) == 0 )[0]\n",
"len(include)"
],
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"234462"
]
},
"metadata": {
"tags": []
},
"execution_count": 17
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "VfebuWe0dFO0",
"colab_type": "text"
},
"source": [
"## F) Try Dim-Redux without data rescaling ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "AlZgZYyXmI6d",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 257
},
"outputId": "e3573caf-b47c-4a1a-d5a6-38bc2f01aade"
},
"source": [
"X = triage_data[ include, :] \n",
"\n",
"embeddings = dict()\n",
"\n",
"t2=time.perf_counter()\n",
"embeddings['umap'] = umap.UMAP().fit_transform( X ) \n",
"t1=time.perf_counter()\n",
"\n",
"embeddings['umap'].shape\n",
"\n",
"print( 'Took', ( t1 - t2 ), 'seconds for UMap to complete')\n"
],
"execution_count": 94,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/numba/typed_passes.py:293: NumbaPerformanceWarning: \n",
"The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n",
"\n",
"To find out why, try turning on parallel diagnostics, see http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.\n",
"\n",
"File \"../../../../../../usr/local/lib/python3.6/dist-packages/umap/nndescent.py\", line 47:\n",
" @numba.njit(parallel=True)\n",
" def nn_descent(\n",
" ^\n",
"\n",
" state.func_ir.loc))\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"Took 398.39321987100084 seconds for UMap to complete\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "U4k6g3azoEO2",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
},
"outputId": "26f386df-5762-44d0-cb9e-3ca466cb5bd3"
},
"source": [
"print( 'Took', ( t1 - t2 ), 'seconds for UMap to complete')\n",
"print( 'After dim redux:', embeddings['umap'].shape )\n"
],
"execution_count": 95,
"outputs": [
{
"output_type": "stream",
"text": [
"Took 398.39321987100084 seconds for UMap to complete\n",
"After dim redux: (234462, 2)\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NOMIKHs4gw6X",
"colab_type": "text"
},
"source": [
"## G) Visualize ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "O2q4tuid-C3C",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "ec515ea5-cb8e-4b60-e3ee-8f4c1dd3513b"
},
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig = plt.figure(figsize=( 10,20 )) \n",
"axes=fig.subplots(2,1) \n",
"\n",
"clrs=dict()\n",
"\n",
"clrs[0]=[1, 0, 0]\n",
"clrs[1]=[.75,.25, 0]\n",
"clrs[2]=[.5,.5, 0]\n",
"clrs[3]=[.25,.50, 0]\n",
"clrs[4]=[0, .50, 0]\n",
"clrs[5]=[0, .75, 0]\n",
"clrs[6]=[0, 1, 0]\n",
"clrs[7]=[0.4940, 0.1840, 0.5560] #[0, .5, .75]\n",
"clrs[8]=[0, .25,.50]\n",
"clrs[9]=[0, 0, 1]\n",
"\n",
"for s in [0,1]:\n",
" q = np.where( sex[include] == s )[0]\n",
" q= q[::10]\n",
" axes[1].plot(embeddings['umap'][q,0], embeddings['umap'][q,1], '.', markersize=5, label='%s' % encodings['sex'][s] )\n",
" axes[1].set_title('Embedding by UMap: sex')\n",
"axes[1].grid()\n",
"axes[1].legend()\n",
"\n",
"bins=[0,30,40,60,70,80,90,100,110]\n",
"l=0\n",
"for i,s in enumerate( bins ): \n",
" try:\n",
" a = bins[i]\n",
" b = bins[i+1]\n",
"\n",
" # print(i, a,b)\n",
" q = np.where( age[include] >= a )[0]\n",
" q2 = np.where( age[include] < b )[0]\n",
" q= np.intersect1d( q,q2 )\n",
"\n",
" l+=len(q)\n",
" q= q[::20]\n",
" axes[0].plot(embeddings['umap'][q,0], embeddings['umap'][q,1], '.', color=clrs[i], label='%d: %d-%d' % (i,a,b), markersize=5 )\n",
" axes[0].set_title('Embedding by Umap: age')\n",
" axes[0].grid()\n",
" axes[0].legend()\n",
" except: \n",
" pass\n"
],
"execution_count": 105,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmEAAARuCAYAAACbc+CkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBhZhkiRJDf4APteK5q4ksK4AAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ltdDzI6Eg2DI",
"colab_type": "text"
},
"source": [
"## H) Redo reduction; after data-rescaling ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "vdNRBNW5-tRG",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "5538c65e-4202-48c5-f656-014d2b509390"
},
"source": [
"X = triage_data[ include, :] \n",
"\n",
"e = X.shape[1] \n",
"if 1:\n",
" for d in enumerate(range(e)):\n",
" v=X[:,d]\n",
" mn=abs(np.nanmin(v))\n",
" mx=np.nanmax(v)\n",
" v=(v-mn)/(mx-mn+1e-10) \n",
" X[:,d]=v\n",
"\n",
"d=1;\n",
"print( np.nanmin( X[:,d] ), np.nanmax( X[:,d] ) )"
],
"execution_count": 24,
"outputs": [
{
"output_type": "stream",
"text": [
"0.0 0.9999999999996169\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "tY5fOmLd-wkD",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 459
},
"outputId": "3f8eb21e-7668-40df-b973-1ed4f8d06331"
},
"source": [
"embeddings = dict()\n",
"\n",
"t2=time.perf_counter()\n",
"embeddings['umap_resc'] = umap.UMAP().fit_transform( X[:, [0,1,2,3,4,6]] ) \n",
"t1=time.perf_counter()\n",
"\n",
"embeddings['umap_resc'].shape\n",
"\n",
"print( 'Took', ( t1 - t2 )/60, 'minutes for UMap to complete')"
],
"execution_count": 26,
"outputs": [
{
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/dist-packages/numba/typed_passes.py:293: NumbaPerformanceWarning: \n",
"The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n",
"\n",
"To find out why, try turning on parallel diagnostics, see http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.\n",
"\n",
"File \"../../../../../../usr/local/lib/python3.6/dist-packages/umap/rp_tree.py\", line 135:\n",
"@numba.njit(fastmath=True, nogil=True, parallel=True)\n",
"def euclidean_random_projection_split(data, indices, rng_state):\n",
"^\n",
"\n",
" state.func_ir.loc))\n",
"/usr/local/lib/python3.6/dist-packages/numba/typed_passes.py:293: NumbaPerformanceWarning: \n",
"The keyword argument 'parallel=True' was specified but no transformation for parallel execution was possible.\n",
"\n",
"To find out why, try turning on parallel diagnostics, see http://numba.pydata.org/numba-doc/latest/user/parallel.html#diagnostics for help.\n",
"\n",
"File \"../../../../../../usr/local/lib/python3.6/dist-packages/umap/nndescent.py\", line 47:\n",
" @numba.njit(parallel=True)\n",
" def nn_descent(\n",
" ^\n",
"\n",
" state.func_ir.loc))\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"Took 6.744849034683314 minutes for UMap to complete\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Y0UAV4rYhAef",
"colab_type": "text"
},
"source": [
"## I) Visualize again ## "
]
},
{
"cell_type": "code",
"metadata": {
"id": "ryj26SBo-c-t",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "f580e2d2-cfa7-469e-b682-3e979336862f"
},
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"fig = plt.figure(figsize=( 10,20 )) \n",
"axes=fig.subplots(2,1) \n",
"\n",
"clrs=dict()\n",
"\n",
"clrs[0]=[1, 0, 0]\n",
"clrs[1]=[.75,.25, 0]\n",
"clrs[2]=[.5,.5, 0]\n",
"clrs[3]=[.25,.50, 0]\n",
"clrs[4]=[0, .50, 0]\n",
"clrs[5]=[0, .75, 0]\n",
"clrs[6]=[0, 1, 0]\n",
"clrs[7]=[0.4940, 0.1840, 0.5560] #[0, .5, .75]\n",
"clrs[8]=[0, .25,.50]\n",
"clrs[9]=[0, 0, 1]\n",
"\n",
"\n",
"encodings=dict()\n",
"encodings['sex']=['Male', 'Female']\n",
"\n",
"K='umap_resc'\n",
"\n",
"bins=[0,30,40,60,70,80,90,100,110]\n",
"l=0\n",
"for i,s in enumerate( bins ): \n",
" try:\n",
" a = bins[i]; b = bins[i+1]\n",
" # print(i, a,b)\n",
" q = np.where( age[include] >= a )[0]\n",
" q2 = np.where( age[include] < b )[0]\n",
" q=m= np.intersect1d( q,q2 )\n",
" l+=len(q)\n",
" q= q[::100]\n",
" axes[0].plot(embeddings[K][q,0], embeddings[K][q,1], '.', color=clrs[i], label='%d: %d-%d, n=%d' % (i,a,b,len(m)), markersize=(i+2)**1.25 )\n",
" axes[0].set_title('Embedding by Umap: age')\n",
" axes[0].grid(); axes[0].legend(); \n",
" except: \n",
" pass\n",
"\n",
"for s in [0,1]:\n",
" q = np.where( sex[include] == s )[0]\n",
" q= q[::30]\n",
" axes[1].plot(embeddings[K][q,0], embeddings[K][q,1], '.', markersize=5, label='%s' % encodings['sex'][s] )\n",
" axes[1].set_title('Embedding by UMap: sex')\n",
"axes[1].grid(); axes[1].legend();"
],
"execution_count": 39,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAmEAAARuCAYAAACbc+CkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text/plain": [
""
]
},
"metadata": {
"tags": []
}
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eRcB0CWxbQpd",
"colab_type": "text"
},
"source": [
"## J) Save a subset to Google drive ##"
]
},
{
"cell_type": "code",
"metadata": {
"id": "0XbaL0ppUU4-",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "cad9e8df-bcc4-4eda-9929-50a81772a4e2"
},
"source": [
"dat=data['df'].iloc[include,:];\n",
"\n",
"print( dat.shape )\n",
"\n",
"#import scipy.io as spio\n",
"#spio.savemat('small_dat.mat', {'dat': dat})\n",
"\n",
"def write_to_pkl( file, dic ):\n",
" from pickle import dump\n",
" f=open( file + '.pkl' , 'wb')\n",
" print( 'writing to', file+'.pkl' )\n",
" dump( dic, f)\n",
" f.close()\n",
"\n",
"write_to_pkl('small_dat', dat )"
],
"execution_count": 36,
"outputs": [
{
"output_type": "stream",
"text": [
"writing to small_dat.pkl\n"
],
"name": "stdout"
}
]
}
]
}