data_preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import string\n",
    "import nltk\n",
    "from nltk.corpus import stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"/Users/rahulsm/Downloads/concept_assertion_relation_training_data/beth/txt/record-13.txt\"\n",
    "path2 = \"/Users/rahulsm/Downloads/concept_assertion_relation_training_data/beth/concept/record-13.con\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_data = []\n",
    "with open(path, 'r') as data:\n",
    "    for lines in data.readlines():\n",
    "        for words in lines.split():\n",
    "            words = words.lower()\n",
    "            if re.match(\"^[a-z0-9_]*$\", words):\n",
    "                new_data.append(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1035\n",
      "['admission', 'date', 'discharge', 'date', 'date', 'of', 'birth', 'sex', 'm', 'service', 'cardiothoracic', 'allergies', 'patient', 'recorded', 'as', 'having', 'no', 'known', 'allergies', 'to', 'drugs', 'attending', 'michael', 'christensen', 'chief', 'complaint', 'shortness', 'of', 'breath', 'major', 'surgical', 'or', 'invasive', 'procedure', 'coronary', 'artery', 'bypass', 'graft', 'x3', 'left', 'internal', 'mammary', 'left', 'anterior', 'descending', 'saphaneous', 'vein', 'graft', 'obtuse', 'marginal', 'saphaneous', 'vein', 'graft', 'posterior', 'descending', 'artery', 'history', 'of', 'present', 'illness', '67', 'male', 'with', 'worsening', 'shortness', 'of', 'had', 'abnormal', 'ett', 'and', 'referred', 'for', 'cath', 'cath', 'revealed', 'severe', '3', 'vessel', 'disease', 'then', 'referred', 'for', 'surgical', 'intervention', 'past', 'medical', 'history', 'carpal', 'tunnel', 'syndrome', 'hypertension', 'hyperlipidemia', 'arthritis', 'palsy', 'hoh', 'tonsillectomy', 'social', 'history', 'denies', 'etoh', 'rare', 'tobacco', 'electrician', 'family', 'history', 'father', 'with', 'mi', 'in', '50', 'and', 'underwent', 'cabg', 'physical', 'exam', 'vs', '65', '20', '5', '7', '180', 'general', 'male', 'in', 'nad', 'heent', 'eomi', 'perrl', 'neck', 'supple', 'from', 'jvd', 'carotid', 'bruits', 'chest', 'ctab', 'heart', 'rrr', 'abd', 'soft', 'ext', 'warm', 'edema', 'varicosities', 'neuro', 'mae', 'pertinent', 'results', 'echo', 'left', 'ventricular', 'wall', 'thicknesses', 'are', 'normal', 'the', 'left', 'ventricular', 'cavity', 'size', 'is', 'normal', 'there', 'is', 'mild', 'inferior', 'wall', 'hypokinesis', 'there', 'is', 'akinesis', 'dyskinesis', 'and', 'thinning', 'of', 'the', 'mid', 'to', 'distal', 'inferior', 'septum', 'and', 'the', 'apex', 'overall', 'left', 'ventricular', 'systolic', 'function', 'is', 'mildly', 'depressed', 'right', 'ventricular', 'chamber', 'size', 'and', 'free', 'wall', 'motion', 'are', 'normal', 'the', 'descending', 'thoracic', 'aorta', 'is', 'mildly', 'dilated', 'there', 'are', 'simple', 'atheroma', 'in', 'the', 'descending', 'thoracic', 'aorta', 'there', 'are', 'three', 'aortic', 'valve', 'leaflets', 'there', 'is', 'no', 'aortic', 'valve', 'stenosis', 'no', 'aortic', 'regurgitation', 'is', 'seen', 'the', 'mitral', 'valve', 'leaflets', 'are', 'mildly', 'thickened', 'trivial', 'mitral', 'regurgitation', 'is', 'seen', 'lv', 'and', 'rv', 'function', 'is', 'unchanged', 'aorta', 'is', 'unchanged', 'other', 'findings', 'are', 'unchanged', 'cxr', 'left', 'lower', 'lobe', 'atelectasis', 'has', 'partially', 'cleared', 'upper', 'lungs', 'are', 'clear', 'mild', 'postoperative', 'widening', 'of', 'the', 'cardiomediastinal', 'silhouette', 'is', 'stable', 'no', 'pneumothorax', 'am', 'blood', 'wbc', 'rbc', 'hgb', 'hct', 'mcv', '92', 'mch', 'mchc', 'rdw', 'plt', 'ct', '134', 'am', 'blood', 'wbc', 'rbc', 'hgb', 'hct', 'mcv', '91', 'mch', 'mchc', 'rdw', 'plt', 'ct', '314', 'am', 'blood', 'pt', 'ptt', 'am', 'blood', 'pt', 'pm', 'blood', 'urean', '17', 'creat', 'cl', '111', 'hco3', '23', 'am', 'blood', 'glucose', '91', 'urean', '19', 'creat', 'na', '134', 'k', 'cl', '98', 'hco3', '26', 'angap', '14', 'brief', 'hospital', 'course', 'kammerer', 'was', 'a', 'same', 'day', 'admit', 'and', 'on', 'was', 'brought', 'to', 'the', 'operating', 'room', 'where', 'he', 'underwent', 'a', 'coronary', 'artery', 'bypass', 'graft', 'x', '3', 'please', 'see', 'operative', 'report', 'for', 'surgical', 'details', 'he', 'tolerated', 'the', 'procedure', 'well', 'and', 'was', 'transferred', 'to', 'the', 'csru', 'for', 'invasive', 'monitoring', 'in', 'stable', 'condition', 'later', 'on', 'op', 'day', 'he', 'was', 'weaned', 'from', 'sedation', 'awoke', 'neurologically', 'intact', 'and', 'extubated', 'beta', 'blockers', 'and', 'diuretics', 'were', 'initiated', 'on', 'day', 'one', 'he', 'was', 'diuresed', 'towards', 'his', 'weight', 'he', 'appeared', 'to', 'be', 'doing', 'well', 'and', 'was', 'transferred', 'to', 'the', 'sdu', 'on', 'this', 'day', 'he', 'did', 'have', 'burst', 'of', 'atrial', 'fibrillation', 'and', 'was', 'started', 'on', 'a', 'amiodarone', 'gtt', 'his', 'beta', 'blockers', 'were', 'also', 'titrated', 'for', 'maximal', 'bp', 'and', 'hr', 'control', 'chest', 'tubes', 'were', 'removed', 'on', 'day', 'two', 'and', 'epicardial', 'pacing', 'wires', 'on', 'day', 'three', 'over', 'the', 'next', 'several', 'days', 'he', 'continued', 'to', 'improve', 'his', 'ambulation', 'and', 'mobility', 'with', 'physical', 'therapy', 'he', 'had', 'no', 'further', 'episodes', 'of', 'afib', 'while', 'on', 'po', 'amiodarone', 'on', 'day', 'five', 'he', 'appeared', 'to', 'have', 'left', 'arm', 'phlebitis', 'and', 'was', 'started', 'on', 'antibiotics', 'he', 'was', 'discharged', 'home', 'on', 'day', 'six', 'with', 'antibiotics', 'and', 'appropriate', 'meds', 'he', 'will', 'have', 'vna', 'services', 'and', 'make', 'the', 'appropriate', 'appointments', 'medications', 'on', 'admission', 'aspirin', '81', 'mg', 'qd', 'toprol', 'xl', '50', 'mg', 'qd', 'mvi', 'flexeril', '10', 'mg', 'qhs', 'plavix', '75', 'mg', 'qd', 'last', 'on', 'discharge', 'medications', 'docusate', 'sodium', '100', 'mg', 'capsule', 'sig', 'one', '1', 'capsule', 'po', 'bid', '2', 'times', 'a', 'day', 'disp', '60', 'capsule', 'refills', '0', 'aspirin', '81', 'mg', 'tablet', 'delayed', 'release', 'sig', 'one', '1', 'tablet', 'delayed', 'release', 'po', 'daily', 'daily', '30', 'tablet', 'delayed', 'release', 'refills', '0', 'ranitidine', 'hcl', '150', 'mg', 'tablet', 'sig', 'one', '1', 'tablet', 'po', 'bid', '2', 'times', 'a', 'day', 'disp', '60', 'tablet', 'refills', '0', 'oxycodone', 'acetaminophen', 'mg', 'tablet', 'sig', 'tablets', 'po', 'q4h', 'every', '4', 'hours', 'as', 'needed', 'for', 'pain', 'disp', '40', 'tablet', 'refills', '0', 'atorvastatin', '10', 'mg', 'tablet', 'sig', 'one', '1', 'tablet', 'po', 'daily', 'daily', 'disp', '30', 'tablet', 'refills', '0', 'amiodarone', '200', 'mg', 'tablet', 'sig', 'two', '2', 'tablet', 'po', 'bid', '2', 'times', 'a', 'day', 'please', 'take', '400', 'mg', 'twice', 'a', 'day', 'until', 'then', 'decrease', 'to', '400', 'mg', 'once', 'a', 'day', 'for', '1', 'week', 'and', 'then', 'decrease', 'to', '200', 'mg', 'once', 'a', 'day', 'disp', '40', 'tablet', 'refills', '0', 'metoprolol', 'succinate', '50', 'mg', 'tablet', 'sustained', 'release', '24', 'hr', 'sig', 'one', '1', 'tablet', 'sustained', 'release', '24', 'hr', 'po', 'daily', 'daily', 'disp', '30', 'tablet', 'sustained', 'release', '24', 'hr', 'refills', '0', 'ferrous', 'gluconate', '300', 'mg', 'tablet', 'sig', 'one', '1', 'tablet', 'po', 'daily', 'daily', 'disp', '30', 'tablet', 'refills', '0', 'ascorbic', 'acid', '500', 'mg', 'tablet', 'sig', 'one', '1', 'tablet', 'po', 'bid', '2', 'times', 'a', 'day', 'disp', '60', 'tablet', 'refills', '0', 'cephalexin', '500', 'mg', 'capsule', 'sig', 'one', '1', 'capsule', 'po', 'q6h', 'every', '6', 'hours', 'for', '6', 'days', 'please', 'complete', 'full', 'course', 'disp', '24', 'capsule', 'refills', '0', 'furosemide', '20', 'mg', 'tablet', 'sig', 'one', '1', 'tablet', 'po', 'once', 'a', 'day', 'for', '2', 'weeks', 'disp', '14', 'tablet', 'refills', '0', 'potassium', 'chloride', '10', 'meq', 'capsule', 'sustained', 'release', 'sig', 'one', '1', 'capsule', 'sustained', 'release', 'po', 'daily', 'daily', 'for', '2', 'weeks', 'disp', '14', 'capsule', 'sustained', 'release', 'refills', '0', 'lisinopril', '5', 'mg', 'tablet', 'sig', 'tablet', 'po', 'daily', 'daily', 'disp', '15', 'tablet', 'refills', '0', 'discharge', 'disposition', 'home', 'with', 'service', 'discharge', 'diagnosis', 'coronary', 'artery', 'disease', 'coronary', 'artery', 'bypass', 'graft', 'x3', 'pmh', 'carpal', 'tunnel', 'syndrome', 'hypertension', 'hyperlipidemia', 'arthritis', 'discharge', 'condition', 'good', 'discharge', 'instructions', 'may', 'shower', 'no', 'baths', 'or', 'swimming', 'monitor', 'wounds', 'for', 'infection', 'redness', 'drainage', 'or', 'increased', 'pain', 'report', 'any', 'fever', 'greater', 'than', '101', 'report', 'any', 'weight', 'gain', 'of', 'greater', 'than', '2', 'pounds', 'in', '24', 'hours', 'or', '5', 'pounds', 'in', 'a', 'week', 'no', 'creams', 'lotions', 'powders', 'or', 'ointments', 'to', 'incisions', 'no', 'driving', 'for', 'approximately', 'one', 'month', 'no', 'lifting', 'more', 'than', '10', 'pounds', 'for', '10', 'weeks', 'please', 'call', 'with', 'any', 'questions', 'or', 'concerns', 'left', 'arm', 'continue', 'with', 'elevation', 'ice', 'and', 'complete', 'all', 'antibiotics', 'followup', 'instructions', 'dr', 'day', 'in', '4', 'weeks', '469', 'please', 'call', 'for', 'appointment', 'dr', 'miller', 'in', '1', 'week', 'please', 'call', 'for', 'appointment', 'dr', 'scott', 'raines', 'in', 'weeks', 'please', 'call', 'for', 'appointment', 'wound', 'check', 'appointment', '4', 'east', 'as', 'instructed', 'by', 'nurse', 'for', 'surgical', 'incision', 'and', 'left', 'arm', 'craig', 'douglas', 'md', 'completed', 'by', 'reyes', 'marengo', 'pa', '80', 'bmd', '1536', 'signed', 'electronically', 'by', 'jeffrey', 'collins', 'on', 'wed', 'am', 'end', 'of', 'report']\n"
     ]
    }
   ],
   "source": [
    "ner_dict = dict()\n",
    "with open(path2, 'r') as ner:\n",
    "    for line in ner.readlines():\n",
    "        line = line.lower()\n",
    "        matches=re.findall(r'\\\"(.+?)\\\"',line)\n",
    "        ner_dict[matches[0]] = matches[1]\n",
    "print(len(new_data))\n",
    "print(new_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "def all_occurences(file, str):\n",
    "    initial = 0\n",
    "    while True:\n",
    "        initial = file.find(str, initial)\n",
    "        if initial == -1: return -1\n",
    "        yield initial\n",
    "        initial += len(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "131\n",
      "121\n",
      "angap for test\n",
      "coronary artery bypass graft for treatment\n",
      "coronary artery disease for problem\n",
      "plavix for treatment\n",
      "procedure for treatment\n",
      "lisinopril for treatment\n",
      "blood for test\n",
      "furosemide for treatment\n",
      "beta blockers for treatment\n",
      "flexeril for treatment\n",
      "pt for test\n",
      "burst atrial fibrillation for problem\n",
      "amiodarone for treatment\n",
      "amiodarone gtt for treatment\n",
      "antibiotics for treatment\n",
      "left arm phlebitis for problem\n",
      "atorvastatin for treatment\n",
      "glucose for test\n",
      "urean for test\n",
      "episodes afib for problem\n",
      "toprol for treatment\n",
      "ascorbic acid for treatment\n",
      "mildly thickened for problem\n",
      "severe vessel disease for problem\n",
      "appropriate meds for treatment\n",
      "mcv for test\n",
      "mildly dilated for problem\n",
      "metoprolol succinate for treatment\n",
      "vna services for treatment\n",
      "ferrous gluconate for treatment\n",
      "chest tubes for treatment\n",
      "hypertension for problem\n",
      "maximal bp hr control for treatment\n",
      "carpal tunnel syndrome for problem\n",
      "cl for test\n",
      "increased pain for problem\n",
      "ice for treatment\n",
      "weight gain for problem\n",
      "na for test\n",
      "fever greater for problem\n",
      "k for test\n",
      "surgical incision for problem\n",
      "creams for treatment\n",
      "incisions for problem\n",
      "cath for test\n",
      "abnormal ett for problem\n",
      "elevation for treatment\n",
      "powders for treatment\n",
      "docusate sodium for treatment\n",
      "mvi for treatment\n",
      "wbc for test\n",
      "lotions for treatment\n",
      "ointments for treatment\n",
      "oxycodone acetaminophen for treatment\n",
      "pain for problem\n",
      "cephalexin for treatment\n",
      "redness for problem\n",
      "potassium chloride for treatment\n",
      "drainage for problem\n",
      "arthritis for problem\n",
      "varicosities for problem\n",
      "worsening shortness for problem\n",
      "surgical intervention for treatment\n",
      "hyperlipidemia for problem\n",
      "edema for problem\n",
      "echo for test\n",
      "drugs for treatment\n",
      "known allergies for problem\n",
      "simple atheroma descending thoracic aorta for problem\n",
      "diuresed for treatment\n",
      "palsy for problem\n",
      "mild inferior wall hypokinesis for problem\n",
      "aortic regurgitation for problem\n",
      "free wall motion for test\n",
      "sedation for treatment\n",
      "aortic valve stenosis for problem\n",
      "rbc for test\n",
      "shortness breath for problem\n",
      "pneumothorax for problem\n",
      "left lower lobe atelectasis for problem\n",
      "lv rv function for test\n",
      "cxr for test\n",
      "trivial mitral regurgitation for problem\n",
      "creat for test\n",
      "weight for test\n",
      "mild postoperative widening cardiomediastinal silhouette for problem\n",
      "cabg for treatment\n",
      "mi for problem\n",
      "left ventricular wall thicknesses for test\n",
      "saphaneous vein graft posterior descending artery for treatment\n",
      "physical therapy for treatment\n",
      "left ventricular cavity size for test\n",
      "right ventricular chamber size for test\n",
      "saphaneous vein graft obtuse marginal for treatment\n",
      "epicardial pacing wires for treatment\n",
      "invasive monitoring for test\n",
      "po amiodarone for treatment\n",
      "thinning mid distal inferior septum for problem\n",
      "aspirin for treatment\n",
      "plt ct for test\n",
      "akinesis for problem\n",
      "carotid bruits for problem\n",
      "rdw for test\n",
      "hct for test\n",
      "overall left ventricular systolic function for test\n",
      "mildly depressed for problem\n",
      "mch for test\n",
      "mchc for test\n",
      "dyskinesis for problem\n",
      "hgb for test\n",
      "wounds for problem\n",
      "infection for problem\n",
      "tonsillectomy for treatment\n",
      "hoh for problem\n",
      "ptt for test\n",
      "ranitidine hcl for treatment\n",
      "diuretics for treatment\n",
      "jvd for problem\n",
      "vs for test\n",
      "left internal mammary left anterior descending for treatment\n",
      "nad for problem\n"
     ]
    }
   ],
   "source": [
    "stop_words = set(stopwords.words('english'))\n",
    "stop_words.update(('admission','date','discharge','birth', 'sex', 'report', 'end'))\n",
    "new_data = [w for w in new_data if not w in stop_words and len(w)>2 and w.isalpha()]\n",
    "# print(len(new_data))\n",
    "# print(new_data)\n",
    "\n",
    "ners = dict()\n",
    "print(len(ner_dict))\n",
    "for keys in ner_dict: \n",
    "    keys = keys.lower()\n",
    "    words = [w for w in keys.split() if not w in stop_words and w.isalpha() and re.match(\"^[a-z0-9_]*$\", w)]\n",
    "    word = ' '.join(map(str, words))\n",
    "    if len(words)>0:\n",
    "        ners[word] = ner_dict[keys]\n",
    "print(len(ners))\n",
    "for keys in ners:\n",
    "    print(f\"{keys} for {ners[keys]}\")\n",
    "#     print(word)\n",
    "#     print(keys)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[37]\n",
      "[37, 425]\n",
      "[37, 425, 945]\n",
      "[942]\n",
      "[440]\n",
      "[469]\n",
      "[469, 516]\n",
      "[504]\n",
      "[512]\n",
      "[578]\n",
      "[562]\n",
      "[830]\n",
      "[257]\n",
      "[82]\n",
      "[597]\n",
      "[224]\n",
      "[784]\n",
      "[602]\n",
      "[813]\n",
      "[527]\n",
      "[522]\n",
      "[94]\n",
      "[94, 951]\n",
      "[976]\n",
      "[985]\n",
      "[979]\n",
      "[1086]\n",
      "[1040]\n",
      "[74]\n",
      "[636]\n",
      "[697]\n",
      "[895]\n",
      "[89]\n",
      "[20]\n",
      "[228]\n",
      "[181]\n",
      "[248]\n",
      "[214]\n",
      "[244]\n",
      "[29]\n",
      "[280]\n",
      "[265]\n",
      "[259]\n",
      "[483]\n",
      "[291]\n",
      "[166]\n",
      "[55]\n",
      "[557]\n",
      "[172]\n",
      "[209]\n",
      "[49]\n",
      "[536]\n",
      "[450]\n",
      "[568]\n",
      "[190]\n",
      "[322]\n",
      "[322, 346]\n",
      "[141]\n",
      "[201]\n",
      "[207]\n",
      "[677]\n",
      "[42]\n"
     ]
    }
   ],
   "source": [
    "for word in ners:\n",
    "    if len(word.split()) > 1:\n",
    "        words = word.split()\n",
    "        indices = []\n",
    "        for i in range(len(new_data)):\n",
    "            flag = True\n",
    "            for j in range(len(words)):\n",
    "                if(new_data[i+j] == words[j]):\n",
    "                    pass\n",
    "                else:\n",
    "                    flag = False\n",
    "                    break\n",
    "            if(flag):\n",
    "                indices.append(i)\n",
    "#                 print(indices)\n",
    "            for ind in indices:\n",
    "                for total in range(len(words)): \n",
    "                    if len(re.split(r'\\t+', new_data[ind+total]))==1:\n",
    "                        new_data[ind+total] = f\"{new_data[ind+total]}\\t{ners[word]}\"\n",
    "                        \n",
    "for word in ners:\n",
    "    if len(word.split())==1:\n",
    "        for i in range(len(new_data)):\n",
    "            if new_data[i]==word:\n",
    "                if len(re.split(r'\\t+', new_data[i]))==1:\n",
    "                    new_data[i] = f\"{new_data[i]}\\t{ners[word]}\"\n",
    "                    \n",
    "for i in range(len(new_data)):\n",
    "    if len(re.split(r'\\t+', new_data[i]))==1:\n",
    "       new_data[i] = f\"{new_data[i]}\\tO\"\n",
    "    \n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "admission\tO\n",
      "date\tO\n",
      "2018-10-25\tO\n",
      "discharge\tO\n",
      "date\tO\n",
      "2018-10-31\tO\n",
      "date\tO\n",
      "of\tO\n",
      "birth\tO\n",
      "1951-06-15\tO\n",
      "sex\tO\n",
      "m\tO\n",
      "service\tO\n",
      "cardiothoracic\tO\n",
      "allergies\tO\n",
      "patient\tO\n",
      "recorded\tO\n",
      "as\tO\n",
      "having\tO\n",
      "no\tO\n",
      "known\tproblem\n",
      "allergies\tproblem\n",
      "to\tO\n",
      "drugs\ttreatment\n",
      "attending\tO\n",
      "michael\tO\n",
      "christensen\tO\n",
      "chief\tO\n",
      "complaint\tO\n",
      "shortness\tproblem\n",
      "of\tproblem\n",
      "breath\tproblem\n",
      "major\tO\n",
      "surgical\tO\n",
      "or\tO\n",
      "invasive\tO\n",
      "procedure\tO\n",
      "coronary\ttreatment\n",
      "artery\ttreatment\n",
      "bypass\ttreatment\n",
      "graft\ttreatment\n",
      "x3\tO\n",
      "left\ttreatment\n",
      "internal\ttreatment\n",
      "mammary\ttreatment\n",
      "->\ttreatment\n",
      "left\ttreatment\n",
      "anterior\ttreatment\n",
      "descending\ttreatment\n",
      "saphaneous\ttreatment\n",
      "vein\ttreatment\n",
      "graft\ttreatment\n",
      "->\ttreatment\n",
      "obtuse\ttreatment\n",
      "marginal\ttreatment\n",
      "saphaneous\ttreatment\n",
      "vein\ttreatment\n",
      "graft\ttreatment\n",
      "->\ttreatment\n",
      "posterior\ttreatment\n",
      "descending\ttreatment\n",
      "artery\ttreatment\n",
      "2018-10-25\tO\n",
      "history\tO\n",
      "of\tO\n",
      "present\tO\n",
      "illness\tO\n",
      "67\tO\n",
      "male\tO\n",
      "with\tO\n",
      "worsening\tO\n",
      "shortness\tO\n",
      "of\tO\n",
      "had\tO\n",
      "abnormal\tproblem\n",
      "ett\tproblem\n",
      "and\tO\n",
      "referred\tO\n",
      "for\tO\n",
      "cath\ttest\n",
      "cath\ttest\n",
      "revealed\tO\n",
      "severe\tproblem\n",
      "3\tproblem\n",
      "vessel\tproblem\n",
      "disease\tproblem\n",
      "then\tO\n",
      "referred\tO\n",
      "for\tO\n",
      "surgical\ttreatment\n",
      "intervention\ttreatment\n",
      "past\tO\n",
      "medical\tO\n",
      "history\tO\n",
      "carpal\tproblem\n",
      "tunnel\tproblem\n",
      "syndrome\tproblem\n",
      "hypertension\tproblem\n",
      "hyperlipidemia\tproblem\n",
      "arthritis\tproblem\n",
      "palsy\tO\n",
      "hoh\tproblem\n",
      "tonsillectomy\ttreatment\n",
      "social\tO\n",
      "history\tO\n",
      "denies\tO\n",
      "etoh\tO\n",
      "rare\tO\n",
      "tobacco\tO\n",
      "electrician\tO\n",
      "family\tO\n",
      "history\tO\n",
      "father\tO\n",
      "with\tO\n",
      "mi\tproblem\n",
      "in\tO\n",
      "50\tO\n",
      "and\tO\n",
      "underwent\tO\n",
      "cabg\ttreatment\n",
      "physical\tO\n",
      "exam\tO\n",
      "vs\ttest\n",
      "65\tO\n",
      "20\tO\n",
      "5\tO\n",
      "7\tO\n",
      "180\tO\n",
      "general\tO\n",
      "male\tO\n",
      "in\tO\n",
      "nad\tproblem\n",
      "heent\tO\n",
      "eomi\tO\n",
      "perrl\tO\n",
      "neck\tO\n",
      "supple\tO\n",
      "from\tO\n",
      "-\tO\n",
      "jvd\tproblem\n",
      "-\tO\n",
      "carotid\tproblem\n",
      "bruits\tproblem\n",
      "chest\tO\n",
      "ctab\tO\n",
      "-\tO\n",
      "heart\tO\n",
      "rrr\tO\n",
      "-\tO\n",
      "abd\tO\n",
      "soft\tO\n",
      "ext\tO\n",
      "warm\tO\n",
      "well-perfused\tO\n",
      "-\tO\n",
      "edema\tproblem\n",
      "-\tO\n",
      "varicosities\tproblem\n",
      "neuro\tO\n",
      "mae\tO\n",
      "non-focal\tO\n",
      "pertinent\tO\n",
      "results\tO\n",
      "echo\ttest\n",
      "10-25\tO\n",
      "pre-bypass\tO\n",
      "left\ttest\n",
      "ventricular\ttest\n",
      "wall\ttest\n",
      "thicknesses\ttest\n",
      "are\tO\n",
      "normal\tO\n",
      "the\ttest\n",
      "left\ttest\n",
      "ventricular\ttest\n",
      "cavity\ttest\n",
      "size\ttest\n",
      "is\tO\n",
      "normal\tO\n",
      "there\tO\n",
      "is\tO\n",
      "mild\tproblem\n",
      "inferior\tproblem\n",
      "wall\tproblem\n",
      "hypokinesis\tproblem\n",
      "there\tO\n",
      "is\tO\n",
      "akinesis\tproblem\n",
      "dyskinesis\tproblem\n",
      "and\tO\n",
      "thinning\tproblem\n",
      "of\tproblem\n",
      "the\tproblem\n",
      "mid\tproblem\n",
      "to\tproblem\n",
      "distal\tproblem\n",
      "inferior\tproblem\n",
      "septum\tproblem\n",
      "and\tO\n",
      "the\tO\n",
      "apex\tO\n",
      "overall\ttest\n",
      "left\ttest\n",
      "ventricular\ttest\n",
      "systolic\ttest\n",
      "function\ttest\n",
      "is\tO\n",
      "mildly\tproblem\n",
      "depressed\tproblem\n",
      "right\ttest\n",
      "ventricular\ttest\n",
      "chamber\ttest\n",
      "size\ttest\n",
      "and\tO\n",
      "free\ttest\n",
      "wall\ttest\n",
      "motion\ttest\n",
      "are\tO\n",
      "normal\tO\n",
      "the\tO\n",
      "descending\tO\n",
      "thoracic\tO\n",
      "aorta\tO\n",
      "is\tO\n",
      "mildly\tproblem\n",
      "dilated\tproblem\n",
      "there\tO\n",
      "are\tO\n",
      "simple\tproblem\n",
      "atheroma\tproblem\n",
      "in\tproblem\n",
      "the\tproblem\n",
      "descending\tproblem\n",
      "thoracic\tproblem\n",
      "aorta\tproblem\n",
      "there\tO\n",
      "are\tO\n",
      "three\tO\n",
      "aortic\tO\n",
      "valve\tO\n",
      "leaflets\tO\n",
      "there\tO\n",
      "is\tO\n",
      "no\tO\n",
      "aortic\tproblem\n",
      "valve\tproblem\n",
      "stenosis\tproblem\n",
      "no\tO\n",
      "aortic\tproblem\n",
      "regurgitation\tproblem\n",
      "is\tO\n",
      "seen\tO\n",
      "the\tO\n",
      "mitral\tO\n",
      "valve\tO\n",
      "leaflets\tO\n",
      "are\tO\n",
      "mildly\tproblem\n",
      "thickened\tproblem\n",
      "trivial\tproblem\n",
      "mitral\tproblem\n",
      "regurgitation\tproblem\n",
      "is\tO\n",
      "seen\tO\n",
      "post-bypass\ttreatment\n",
      "lv\ttest\n",
      "and\ttest\n",
      "rv\ttest\n",
      "function\ttest\n",
      "is\tO\n",
      "unchanged\tO\n",
      "aorta\tO\n",
      "is\tO\n",
      "unchanged\tO\n",
      "other\tO\n",
      "findings\tO\n",
      "are\tO\n",
      "unchanged\tO\n",
      "cxr\ttest\n",
      "10-30\tO\n",
      "left\tproblem\n",
      "lower\tproblem\n",
      "lobe\tproblem\n",
      "atelectasis\tproblem\n",
      "has\tO\n",
      "partially\tO\n",
      "cleared\tO\n",
      "upper\tO\n",
      "lungs\tO\n",
      "are\tO\n",
      "clear\tO\n",
      "mild\tproblem\n",
      "postoperative\tproblem\n",
      "widening\tproblem\n",
      "of\tproblem\n",
      "the\tproblem\n",
      "cardiomediastinal\tproblem\n",
      "silhouette\tproblem\n",
      "is\tO\n",
      "stable\tO\n",
      "no\tO\n",
      "pneumothorax\tproblem\n",
      "2018-10-25\tO\n",
      "am\tO\n",
      "blood\ttest\n",
      "wbc\ttest\n",
      "-\tO\n",
      "rbc\ttest\n",
      "-\tO\n",
      "hgb\ttest\n",
      "-\tO\n",
      "hct\ttest\n",
      "-\tO\n",
      "mcv\ttest\n",
      "-\tO\n",
      "92\tO\n",
      "mch\ttest\n",
      "-\tO\n",
      "mchc\ttest\n",
      "-\tO\n",
      "rdw\ttest\n",
      "-\tO\n",
      "plt\ttest\n",
      "ct\ttest\n",
      "-\tO\n",
      "134\tO\n",
      "2018-10-31\tO\n",
      "am\tO\n",
      "blood\ttest\n",
      "wbc\ttest\n",
      "-\tO\n",
      "rbc\ttest\n",
      "-\tO\n",
      "hgb\ttest\n",
      "-\tO\n",
      "hct\ttest\n",
      "-\tO\n",
      "mcv\ttest\n",
      "-\tO\n",
      "91\tO\n",
      "mch\ttest\n",
      "-\tO\n",
      "mchc\ttest\n",
      "-\tO\n",
      "rdw\ttest\n",
      "-\tO\n",
      "plt\ttest\n",
      "ct\ttest\n",
      "-\tO\n",
      "314\tO\n",
      "2018-10-25\tO\n",
      "am\tO\n",
      "blood\ttest\n",
      "pt\ttest\n",
      "-\tO\n",
      "ptt\ttest\n",
      "-\tO\n",
      "-\tO\n",
      "2018-10-29\tO\n",
      "am\tO\n",
      "blood\ttest\n",
      "pt\ttest\n",
      "-\tO\n",
      "-\tO\n",
      "2018-10-25\tO\n",
      "pm\tO\n",
      "blood\ttest\n",
      "urean\ttest\n",
      "-\tO\n",
      "17\tO\n",
      "creat\ttest\n",
      "-\tO\n",
      "cl\ttest\n",
      "-\tO\n",
      "111\tO\n",
      "hco3\ttest\n",
      "-\tO\n",
      "23\tO\n",
      "2018-10-31\tO\n",
      "am\tO\n",
      "blood\ttest\n",
      "glucose\ttest\n",
      "-\tO\n",
      "91\tO\n",
      "urean\ttest\n",
      "-\tO\n",
      "19\tO\n",
      "creat\ttest\n",
      "-\tO\n",
      "na\ttest\n",
      "-\tO\n",
      "134\tO\n",
      "k\ttest\n",
      "-\tO\n",
      "cl\ttest\n",
      "-\tO\n",
      "98\tO\n",
      "hco3\ttest\n",
      "-\tO\n",
      "26\tO\n",
      "angap\ttest\n",
      "-\tO\n",
      "14\tO\n",
      "brief\tO\n",
      "hospital\tO\n",
      "course\tO\n",
      "kammerer\tO\n",
      "was\tO\n",
      "a\tO\n",
      "same\tO\n",
      "day\tO\n",
      "admit\tO\n",
      "and\tO\n",
      "on\tO\n",
      "10-25\tO\n",
      "was\tO\n",
      "brought\tO\n",
      "to\tO\n",
      "the\tO\n",
      "operating\tO\n",
      "room\tO\n",
      "where\tO\n",
      "he\tO\n",
      "underwent\tO\n",
      "a\tO\n",
      "coronary\ttreatment\n",
      "artery\ttreatment\n",
      "bypass\ttreatment\n",
      "graft\ttreatment\n",
      "x\tO\n",
      "3\tO\n",
      "please\tO\n",
      "see\tO\n",
      "operative\tO\n",
      "report\tO\n",
      "for\tO\n",
      "surgical\tO\n",
      "details\tO\n",
      "he\tO\n",
      "tolerated\tO\n",
      "the\ttreatment\n",
      "procedure\ttreatment\n",
      "well\tO\n",
      "and\tO\n",
      "was\tO\n",
      "transferred\tO\n",
      "to\tO\n",
      "the\tO\n",
      "csru\tO\n",
      "for\tO\n",
      "invasive\ttest\n",
      "monitoring\ttest\n",
      "in\tO\n",
      "stable\tO\n",
      "condition\tO\n",
      "later\tO\n",
      "on\tO\n",
      "op\tO\n",
      "day\tO\n",
      "he\tO\n",
      "was\tO\n",
      "weaned\tO\n",
      "from\tO\n",
      "sedation\ttreatment\n",
      "awoke\tO\n",
      "neurologically\tO\n",
      "intact\tO\n",
      "and\tO\n",
      "extubated\tO\n",
      "beta\ttreatment\n",
      "blockers\ttreatment\n",
      "and\tO\n",
      "diuretics\ttreatment\n",
      "were\tO\n",
      "initiated\tO\n",
      "on\tO\n",
      "post-op\tO\n",
      "day\tO\n",
      "one\tO\n",
      "he\tO\n",
      "was\tO\n",
      "diuresed\ttreatment\n",
      "towards\tO\n",
      "his\ttest\n",
      "pre-op\ttest\n",
      "weight\ttest\n",
      "he\tO\n",
      "appeared\tO\n",
      "to\tO\n",
      "be\tO\n",
      "doing\tO\n",
      "well\tO\n",
      "and\tO\n",
      "was\tO\n",
      "transferred\tO\n",
      "to\tO\n",
      "the\tO\n",
      "sdu\tO\n",
      "on\tO\n",
      "this\tO\n",
      "day\tO\n",
      "he\tO\n",
      "did\tO\n",
      "have\tO\n",
      "burst\tproblem\n",
      "of\tproblem\n",
      "atrial\tproblem\n",
      "fibrillation\tproblem\n",
      "and\tO\n",
      "was\tO\n",
      "started\tO\n",
      "on\tO\n",
      "a\ttreatment\n",
      "amiodarone\ttreatment\n",
      "gtt\ttreatment\n",
      "his\tO\n",
      "beta\ttreatment\n",
      "blockers\ttreatment\n",
      "were\tO\n",
      "also\tO\n",
      "titrated\tO\n",
      "for\tO\n",
      "maximal\ttreatment\n",
      "bp\ttreatment\n",
      "and\ttreatment\n",
      "hr\ttreatment\n",
      "control\ttreatment\n",
      "chest\ttreatment\n",
      "tubes\ttreatment\n",
      "were\tO\n",
      "removed\tO\n",
      "on\tO\n",
      "post-op\tO\n",
      "day\tO\n",
      "two\tO\n",
      "and\tO\n",
      "epicardial\ttreatment\n",
      "pacing\ttreatment\n",
      "wires\ttreatment\n",
      "on\tO\n",
      "post-op\tO\n",
      "day\tO\n",
      "three\tO\n",
      "over\tO\n",
      "the\tO\n",
      "next\tO\n",
      "several\tO\n",
      "days\tO\n",
      "he\tO\n",
      "continued\tO\n",
      "to\tO\n",
      "improve\tO\n",
      "his\tO\n",
      "ambulation\tO\n",
      "and\tO\n",
      "mobility\tO\n",
      "with\tO\n",
      "physical\ttreatment\n",
      "therapy\ttreatment\n",
      "he\tO\n",
      "had\tO\n",
      "no\tO\n",
      "further\tproblem\n",
      "episodes\tproblem\n",
      "of\tproblem\n",
      "afib\tproblem\n",
      "while\tO\n",
      "on\tO\n",
      "po\ttreatment\n",
      "amiodarone\ttreatment\n",
      "on\tO\n",
      "post-op\tO\n",
      "day\tO\n",
      "five\tO\n",
      "he\tO\n",
      "appeared\tO\n",
      "to\tO\n",
      "have\tO\n",
      "left\tproblem\n",
      "arm\tproblem\n",
      "phlebitis\tproblem\n",
      "and\tO\n",
      "was\tO\n",
      "started\tO\n",
      "on\tO\n",
      "antibiotics\ttreatment\n",
      "he\tO\n",
      "was\tO\n",
      "discharged\tO\n",
      "home\tO\n",
      "on\tO\n",
      "post-op\tO\n",
      "day\tO\n",
      "six\tO\n",
      "with\tO\n",
      "antibiotics\ttreatment\n",
      "and\tO\n",
      "appropriate\ttreatment\n",
      "meds\ttreatment\n",
      "he\tO\n",
      "will\tO\n",
      "have\tO\n",
      "vna\ttreatment\n",
      "services\ttreatment\n",
      "and\tO\n",
      "make\tO\n",
      "the\tO\n",
      "appropriate\tO\n",
      "follow-up\tO\n",
      "appointments\tO\n",
      "medications\tO\n",
      "on\tO\n",
      "admission\tO\n",
      "aspirin\ttreatment\n",
      "81\tO\n",
      "mg\tO\n",
      "qd\tO\n",
      "toprol\ttreatment\n",
      "xl\tO\n",
      "50\tO\n",
      "mg\tO\n",
      "qd\tO\n",
      "mvi\ttreatment\n",
      "flexeril\ttreatment\n",
      "10\tO\n",
      "mg\tO\n",
      "qhs\tO\n",
      "plavix\ttreatment\n",
      "75\tO\n",
      "mg\tO\n",
      "qd\tO\n",
      "last\tO\n",
      "on\tO\n",
      "10-18\tO\n",
      "discharge\tO\n",
      "medications\tO\n",
      "docusate\ttreatment\n",
      "sodium\ttreatment\n",
      "100\tO\n",
      "mg\tO\n",
      "capsule\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "capsule\tO\n",
      "po\tO\n",
      "bid\tO\n",
      "2\tO\n",
      "times\tO\n",
      "a\tO\n",
      "day\tO\n",
      "disp\tO\n",
      "60\tO\n",
      "capsule\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "aspirin\ttreatment\n",
      "81\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "delayed\tO\n",
      "release\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "delayed\tO\n",
      "release\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "30\tO\n",
      "tablet\tO\n",
      "delayed\tO\n",
      "release\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "ranitidine\ttreatment\n",
      "hcl\ttreatment\n",
      "150\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "bid\tO\n",
      "2\tO\n",
      "times\tO\n",
      "a\tO\n",
      "day\tO\n",
      "disp\tO\n",
      "60\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "oxycodone\ttreatment\n",
      "-\ttreatment\n",
      "acetaminophen\ttreatment\n",
      "5-325\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "1-2\tO\n",
      "tablets\tO\n",
      "po\tO\n",
      "q4h\tO\n",
      "every\tO\n",
      "4\tO\n",
      "hours\tO\n",
      "as\tO\n",
      "needed\tO\n",
      "for\tO\n",
      "pain\tproblem\n",
      "disp\tO\n",
      "40\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "atorvastatin\ttreatment\n",
      "10\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "disp\tO\n",
      "30\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "amiodarone\ttreatment\n",
      "200\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "two\tO\n",
      "2\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "bid\tO\n",
      "2\tO\n",
      "times\tO\n",
      "a\tO\n",
      "day\tO\n",
      "please\tO\n",
      "take\tO\n",
      "400\tO\n",
      "mg\tO\n",
      "twice\tO\n",
      "a\tO\n",
      "day\tO\n",
      "until\tO\n",
      "11-02\tO\n",
      "then\tO\n",
      "decrease\tO\n",
      "to\tO\n",
      "400\tO\n",
      "mg\tO\n",
      "once\tO\n",
      "a\tO\n",
      "day\tO\n",
      "for\tO\n",
      "1\tO\n",
      "week\tO\n",
      "and\tO\n",
      "then\tO\n",
      "decrease\tO\n",
      "to\tO\n",
      "200\tO\n",
      "mg\tO\n",
      "once\tO\n",
      "a\tO\n",
      "day\tO\n",
      "disp\tO\n",
      "40\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "metoprolol\ttreatment\n",
      "succinate\ttreatment\n",
      "50\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "24\tO\n",
      "hr\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "24\tO\n",
      "hr\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "disp\tO\n",
      "30\tO\n",
      "tablet\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "24\tO\n",
      "hr\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "ferrous\ttreatment\n",
      "gluconate\ttreatment\n",
      "300\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "disp\tO\n",
      "30\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "ascorbic\ttreatment\n",
      "acid\ttreatment\n",
      "500\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "bid\tO\n",
      "2\tO\n",
      "times\tO\n",
      "a\tO\n",
      "day\tO\n",
      "disp\tO\n",
      "60\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "cephalexin\ttreatment\n",
      "500\tO\n",
      "mg\tO\n",
      "capsule\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "capsule\tO\n",
      "po\tO\n",
      "q6h\tO\n",
      "every\tO\n",
      "6\tO\n",
      "hours\tO\n",
      "for\tO\n",
      "6\tO\n",
      "days\tO\n",
      "please\tO\n",
      "complete\tO\n",
      "full\tO\n",
      "course\tO\n",
      "disp\tO\n",
      "24\tO\n",
      "capsule\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "furosemide\ttreatment\n",
      "20\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "once\tO\n",
      "a\tO\n",
      "day\tO\n",
      "for\tO\n",
      "2\tO\n",
      "weeks\tO\n",
      "disp\tO\n",
      "14\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "potassium\ttreatment\n",
      "chloride\ttreatment\n",
      "10\tO\n",
      "meq\tO\n",
      "capsule\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "sig\tO\n",
      "one\tO\n",
      "1\tO\n",
      "capsule\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "for\tO\n",
      "2\tO\n",
      "weeks\tO\n",
      "disp\tO\n",
      "14\tO\n",
      "capsule\tO\n",
      "sustained\tO\n",
      "release\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "lisinopril\ttreatment\n",
      "5\tO\n",
      "mg\tO\n",
      "tablet\tO\n",
      "sig\tO\n",
      "tablet\tO\n",
      "po\tO\n",
      "daily\tO\n",
      "daily\tO\n",
      "disp\tO\n",
      "15\tO\n",
      "tablet\tO\n",
      "refills\tO\n",
      "0\tO\n",
      "discharge\tO\n",
      "disposition\tO\n",
      "home\tO\n",
      "with\tO\n",
      "service\tO\n",
      "discharge\tO\n",
      "diagnosis\tO\n",
      "coronary\tproblem\n",
      "artery\tproblem\n",
      "disease\tproblem\n",
      "coronary\ttreatment\n",
      "artery\ttreatment\n",
      "bypass\ttreatment\n",
      "graft\ttreatment\n",
      "x3\tO\n",
      "pmh\tO\n",
      "carpal\tproblem\n",
      "tunnel\tproblem\n",
      "syndrome\tproblem\n",
      "hypertension\tproblem\n",
      "hyperlipidemia\tproblem\n",
      "arthritis\tproblem\n",
      "discharge\tO\n",
      "condition\tO\n",
      "good\tO\n",
      "discharge\tO\n",
      "instructions\tO\n",
      "may\tO\n",
      "shower\tO\n",
      "no\tO\n",
      "baths\tO\n",
      "or\tO\n",
      "swimming\tO\n",
      "monitor\tO\n",
      "wounds\tproblem\n",
      "for\tO\n",
      "infection\tproblem\n",
      "-\tO\n",
      "redness\tproblem\n",
      "drainage\tproblem\n",
      "or\tO\n",
      "increased\tproblem\n",
      "pain\tproblem\n",
      "report\tO\n",
      "any\tproblem\n",
      "fever\tproblem\n",
      "greater\tproblem\n",
      "than\tproblem\n",
      "101\tproblem\n",
      "report\tO\n",
      "any\tproblem\n",
      "weight\tproblem\n",
      "gain\tproblem\n",
      "of\tO\n",
      "greater\tO\n",
      "than\tO\n",
      "2\tO\n",
      "pounds\tO\n",
      "in\tO\n",
      "24\tO\n",
      "hours\tO\n",
      "or\tO\n",
      "5\tO\n",
      "pounds\tO\n",
      "in\tO\n",
      "a\tO\n",
      "week\tO\n",
      "no\tO\n",
      "creams\ttreatment\n",
      "lotions\ttreatment\n",
      "powders\ttreatment\n",
      "or\tO\n",
      "ointments\ttreatment\n",
      "to\tO\n",
      "incisions\tproblem\n",
      "no\tO\n",
      "driving\tO\n",
      "for\tO\n",
      "approximately\tO\n",
      "one\tO\n",
      "month\tO\n",
      "no\tO\n",
      "lifting\tO\n",
      "more\tO\n",
      "than\tO\n",
      "10\tO\n",
      "pounds\tO\n",
      "for\tO\n",
      "10\tO\n",
      "weeks\tO\n",
      "please\tO\n",
      "call\tO\n",
      "with\tO\n",
      "any\tO\n",
      "questions\tO\n",
      "or\tO\n",
      "concerns\tO\n",
      "left\tO\n",
      "arm\tO\n",
      "continue\tO\n",
      "with\tO\n",
      "elevation\ttreatment\n",
      "ice\ttreatment\n",
      "and\tO\n",
      "complete\tO\n",
      "all\ttreatment\n",
      "antibiotics\ttreatment\n",
      "followup\tO\n",
      "instructions\tO\n",
      "dr\tO\n",
      "day\tO\n",
      "in\tO\n",
      "4\tO\n",
      "weeks\tO\n",
      "469\tO\n",
      "587-0462\tO\n",
      "please\tO\n",
      "call\tO\n",
      "for\tO\n",
      "appointment\tO\n",
      "dr\tO\n",
      "miller\tO\n",
      "in\tO\n",
      "1\tO\n",
      "week\tO\n",
      "262-575-0600\tO\n",
      "please\tO\n",
      "call\tO\n",
      "for\tO\n",
      "appointment\tO\n",
      "dr\tO\n",
      "scott\tO\n",
      "raines\tO\n",
      "in\tO\n",
      "2-3\tO\n",
      "weeks\tO\n",
      "please\tO\n",
      "call\tO\n",
      "for\tO\n",
      "appointment\tO\n",
      "wound\tO\n",
      "check\tO\n",
      "appointment\tO\n",
      "4\tO\n",
      "east\tO\n",
      "as\tO\n",
      "instructed\tO\n",
      "by\tO\n",
      "nurse\tO\n",
      "280-5326\tO\n",
      "for\tO\n",
      "surgical\tproblem\n",
      "incision\tproblem\n",
      "and\tO\n",
      "left\tO\n",
      "arm\tO\n",
      "craig\tO\n",
      "douglas\tO\n",
      "md\tO\n",
      "10-898\tO\n",
      "completed\tO\n",
      "by\tO\n",
      "reyes\tO\n",
      "marengo\tO\n",
      "pa\tO\n",
      "80\tO\n",
      "-\tO\n",
      "bmd\tO\n",
      "2018-11-19\tO\n",
      "1536\tO\n",
      "signed\tO\n",
      "electronically\tO\n",
      "by\tO\n",
      "jeffrey\tO\n",
      "collins\tO\n",
      "on\tO\n",
      "wed\tO\n",
      "2018-11-21\tO\n",
      "am\tO\n",
      "end\tO\n",
      "of\tO\n",
      "report\tO\n"
     ]
    }
   ],
   "source": [
    "for word in new_data:\n",
    "    print(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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