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1
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- {"paragraphs":[{"title":"Basic imports","text":"import com.johnsnowlabs.nlp.util.io.OcrHelper\nimport com.johnsnowlabs.nlp.util.io._\nimport com.johnsnowlabs.nlp.annotators.Tokenizer\nimport com.johnsnowlabs.nlp.base.{DocumentAssembler, Finisher}\n","user":"anonymous","dateUpdated":"2018-09-09T20:21:30-0300","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"import com.johnsnowlabs.nlp.util.io.OcrHelper\nimport com.johnsnowlabs.nlp.util.io._\nimport com.johnsnowlabs.nlp.annotators.Tokenizer\nimport com.johnsnowlabs.nlp.base.{DocumentAssembler, Finisher}\n"}]},"apps":[],"jobName":"paragraph_1533758794080_668134979","id":"20180808-170634_1076437665","dateCreated":"2018-08-08T17:06:34-0300","dateStarted":"2018-09-09T20:21:30-0300","dateFinished":"2018-09-09T20:21:32-0300","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:170"},{"title":"Load data","text":"import com.johnsnowlabs.nlp.util.io.{PageSegmentationMode, PageIteratorLevel}\n\nOcrHelper.setScalingFactor(2.5f)\nOcrHelper.setPageIteratorLevel(PageIteratorLevel.PARAGRAPH)\nOcrHelper.useErosion(true, kSize = 1)\nval data = OcrHelper.createDataset(spark, inputPath=\"../strata_demo\", outputCol=\"region\", metadataCol=\"metadata\").cache\ndata.printSchema\n\n{ // for displaying\nval regions = data.select(\"region\").collect().map(_.get(0))\nregions.foreach{chunk =>\n println(\"---------------\")\n println(chunk)}\n}\n","user":"anonymous","dateUpdated":"2018-09-09T20:21:32-0300","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"import com.johnsnowlabs.nlp.util.io.{PageSegmentationMode, PageIteratorLevel}\ndata: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [region: string, metadata: map<string,string>]\nroot\n |-- region: string (nullable = true)\n |-- metadata: map (nullable = true)\n | |-- key: string\n | |-- value: string (valueContainsNull = true)\n\n---------------\nEahent I\n\n---------------\nFinancial Numbhba\n\n---------------\nRandom Hospital Date of Birth\n\n---------------\n\n---------------\nChic Complaint\nShorinees of breath\n\n---------------\nHistory of Fresent Hliness\n\n---------------\nPatien! is an Bd-year-old male wilh a past medical history ¢l hypertension, HFpEF 12s]\n\nknown EF 53%. mild to moderate TR, pulmonary hypertension, permanent atrial\n\n---------------\nfibrillation on Eliquis, history of Gi bleed, CR-M3, and anemia who presents with ull wegks\noi generalized fatigue and fecling umvell. He also notes some shortness of breath and\nworsening dyspnea wilh minimal éxerlion. His major complaints are shoulder and joint\npains, diffusely. He also complains of \"bene pain’. He denies having any fevers or chills.\nHe deries having any chest pain, palpitalicns, He denies any worse sxtramity\n\n---------------\nswelling than his baseline. He states ha's teen compliant with his medications. Although\nhe stales he ran out of his Eliquis & few wesks ago. He denies having any blood in his\nstools or meiena, although he does 1ake iron pills and states his stools arc frequently black\nHis hemoglobin is a1 baseline.\n\n---------------\nTwelve-lead EKG showing atrial fibrillation, RBBEG, LAFH, PVU. Chest x-ray showing naw\nsmall right greater than left pleural effusions with mild pulmonary vascular congestion. BNP\nincreased to 2800, up fram 1900. Troponin 0.03. Renal function &t baselina. Hemoglobin\n={ baseline.\n\n---------------\nShe normally takes B0 mag of oral Lasix daily. He was given 80 mg of IV Lasix in the EL,\nHe is currently net negative closa to 1 L. He is still en 2 L nasal cannula.\n\n---------------\nieview of Hysioms\n\n---------------\nA 10 system roview of sysiems was complelad and negative except as documentad in Hel\n\n---------------\nFhysical Exam\n\n---------------\nVitals & Measurements\nT: 36.8 °C (Cral) TMIN: 36.8 \"C (Oral) TMAX: 37.0 “C (Cral} HR: 54 RR: 17\n\nBP: 140/83 WT: 100.3 KG\n\nPulse Ox: 100 % Oxygen: 2 L/min via Nasal Cannula\n\nGENERAL: no acule distress\n\nHEAD: normecephalic\n\nEYES/EARS/NOSEMTHROAT: pupils are equal, normal oropharynx\nNECK: normal inspection\n\nRESPIRATORY: no raspiralory distress, no rales on my exam\nCARDIOVASCULAR: irregular. brady. no murmurs, rubs or gallcps\nABDOMEN: soft, non-tendar\n\nEXTREMITIES: Bilateral chronic venous stasis changes\nNEUROLOGIC: alert and oriented x 3. no gross molar ar seasary deficils\n\n---------------\n\n---------------\nAcute on chronic diastolic CHF (congestive heart failure)\nAcute an chronic diastolic heart failure exacerbation. Small pleural effusions dilaterally\n\nwith mild pulmonary vascular congestion on chest x-ray, slight elevation in BNE. Well\nconlinue 1 more day of IV diuresis with 80 mq IV Lasix. He may have had a viral infection\nwhich precipitated his. Well add Tylencl for his joint pains. Continug atenciol and\nchlorthalidenc.\n\n---------------\nAF - Atrial Tibriliation\nPermanent atrial fibrillation. Rates bradycardic in the £05. Continua atenolol with hold\n\n---------------\nparamalers. Continue Eliguis for stroke prevention. No evidence oi bleeding. hemog.oom\nal hazaling\n\n---------------\nPrinted: 79720417 13:07 EDT Page 16 of 42\n\n---------------\n\n---------------\n\n---------------\nCHIE - Congashive hearl gilure\n\n---------------\nIronic 1gney discasc\n\n---------------\nChronic venous nsyiiiciency\n\n---------------\ndemas\n\n---------------\nGl bleeding\n\n---------------\n\n---------------\n\n---------------\nHypertension\n\n---------------\nFaplic ulcer\n\n---------------\nPanipheral neuropathy\n\n---------------\nParipheral vascular disease\n\n---------------\nPuimonary hypericnsion\n\n---------------\nAngus regurgitalion\nHistories!\n\n---------------\nNo qualiving dala\n\n---------------\nFrocedura/Suragical History\n\n---------------\nduodenal resection. duodenojejunostomy.\nsmall bowel enterolomy, removal of foreign\nobject and ropair of enterotomy (05/21/2014),\ncolonoscopy (12/10/2013), egd (12/09/2013).\nHO ondoscopy (07/2013), H/Q colcnoscopy\n(03/2013), pilonidal cys! removal at base of\nspine (1881), laser eye surgery for glaucoma\nlesions on small intestine closed up.\n\n---------------\nHome Medications\nHomo\n\n---------------\nallopurinol 300 rg oral lablel, 3C0 MG=1\nTAB, PO. Daily\n\n---------------\ndlenclol 25 mg oral tabled, 25 MG= 1 AL,\nPO, Daily\n\n---------------\nchiorthalidone 25 mg oral tablet, 25 MG=\n1 TAB. PO, MAF\n\n---------------\nCombigan 0.2%-0.5% ophthalra:c\neolution, 1 DROP, Both Byes, Q12H\n\n---------------\nCliquis 5 mg oral labled, 5 MG=1 TAB,\nPO. BID\n\n---------------\n2rrous sullale 325 mg (D5 mg elemental\niron) oral tablet, 323 MG= 1 TAB, PO,\nDaily\n\n---------------\nLasix 80 mg oral iablei. B0MG=1 TAB\nPO BID\n\n---------------\nomaprazolc 20 mg oral delayed rCicasc\ncapsule, 20 MG= 1 CAP PO, BID\n\n---------------\n?ercocot 3/3235 oral tablet. 1 1AB, PO.\nQAM\n\n---------------\npotassium chioride 20 mizq oral 1abiet,\nextended releass, 20 MEQ= 1 TAB, PO,\nDaily\n\n---------------\nsertraline 50 mg oral tabigl, 75 kG= 1.0\nTAB. PO. Daily\n\n---------------\nIriameinoiona 0.1% lopical cream, 1 APE\nTopical, Daily\n\n---------------\nnamemaoiona 0.1% lopical omimeni, 1\nAPP, Topical, Dzily\n\n---------------\nPowearChart\n\n---------------\nHalienl Name\nFinancial Number\nDate of Birth\nPatient Location\n\n---------------\nRandom Hospital\n\n---------------\nH&P\n\n \n\nAnemia\nAt baszhne\nArthritis\n\n---------------\nTylenol for pain. Palienl also lakes Pareoce! al home, wail add ls on.\nChronic kidney disease\nAt baseline. Monitor while divresing.\nHypertension\nBlood pressures within tolerable ranges.\nPulmonary hypertension\nTricuspid regurgitation\nLild-to-moderzie on achocardiogram last year.\n\n---------------\nAticnding physician nota-the patient was interviewed and examined. The appropnalc\nmformation in power charl was reviewed. The patienl was discussed wilh Dr, Parsad,\nPaticnt may have a mild degree of heart failure. He and his wile were more concerned with\nhes peripheral edema. He has underlying renal insufficiency as well. We'll Iry 10 diurese\nhim 10 his “dry” weight. We will thon try to adjust his medications lo koep him within 2\nnatraw range of hat weighl. We will stop his atenolol this point since he is relatively\nbradycardic and observe his heart rate on the cardiac monitor. He will progress with his\ncare and aclivily as tolerated.\n\n---------------\nVitamin 2 50,C00 intl units (1.25 mQ) oral\n\n---------------\ncapsule, 1 TAB, PQ, Weexly-Tue\n\nAllergies\nsholliish (cout)\n\nsulfa drug (maculozapular rash)\n\nSocial Hislary\n\nEvar Smoked Tobacco: Former Smoker\nAlcoho! use - frequency: Nong\nDrug use: Never\n\nLab Results\n0715547 05:30 a 07168117 05:30\n\n---------------\n1431L88IH26/\n102\n\n---------------\n\n---------------\n\n---------------\n\\L10.3/\n3.4 = L125\n\n---------------\n\n---------------\n\n---------------\nHage 17 of 42\n\n---------------\n\n---------------\n\n---------------\n\n---------------\n\n---------------\n\n---------------\nTOTAL COZ\nBUN\n\n---------------\n\n---------------\nANION GAF\nCA\n\n---------------\n\n---------------\nwbBl\nHGB\nHCT\nRBC\nMCV\nMCH\nMCHC\nRDW\nPAS\n\n---------------\n07/16/17\n05:30\n\n---------------\n102 mg/dL\n143 MMOL/L\n3.6 MMOL/L\n98 MMOL/L\n40 MMOL/L\n26 mg/dL\n1.23 mg/dL\n“3\n\n---------------\n7.8 mg/dL\n07/16/17\n5:30\n\n---------------\n44 / ni\n\n---------------\n10.1 G/DL\n30 4 04,\n\n---------------\n3.41 /PL\n95.0 FL\n29.6 pa\n\n---------------\n\n---------------\n\n---------------\n\n---------------\nPovwerGheard\n\n"}]},"apps":[],"jobName":"paragraph_1533761537671_649047963","id":"20180808-175217_1324247476","dateCreated":"2018-08-08T17:52:17-0300","dateStarted":"2018-09-09T20:21:32-0300","dateFinished":"2018-09-09T20:23:17-0300","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:171"},{"title":"Create Pipeline Stages - Tokenization","text":"import com.johnsnowlabs.nlp.annotators.spell.norvig.NorvigSweetingModel\nimport org.apache.spark.ml.{Pipeline, PipelineModel}\n\n\nval documentAssembler = new DocumentAssembler().\nsetInputCol(\"region\").\nsetMetadataCol(\"metadata\").\nsetTrimAndClearNewLines(false)\n\nval token = new Tokenizer().\nsetTargetPattern(\"\\\\S+|\\\\S+:|\\\\n|,|\\\\.|\\\\n\\\\n\").\nsetIncludeDefaults(false).\nsetInfixPatterns(Array(\"(\\\\S+)(\\\\n)(\\\\n)(\\\\S+)\",\"(\\\\S+)(\\\\n)(\\\\S+)\", \"(\\\\S+)(\\\\n)\", \"(\\\\S+)(\\\\.)\", \"(\\\\S+)(\\\\,)\", \"(\\\\S+)\")).\nsetInputCols(Array(\"document\")).\nsetOutputCol(\"token\")\n\n\nval pipeline = new Pipeline().setStages(Array(documentAssembler, token)) \nval result = pipeline.fit(data).transform(data)\n\nresult.select(\"token\").collect.foreach(println)\n","user":"anonymous","dateUpdated":"2018-09-09T20:23:17-0300","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{"0":{"graph":{"mode":"table","height":278.606,"optionOpen":false}}},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"import com.johnsnowlabs.nlp.annotators.spell.norvig.NorvigSweetingModel\nimport org.apache.spark.ml.{Pipeline, PipelineModel}\ndocumentAssembler: com.johnsnowlabs.nlp.DocumentAssembler = document_bf6044995f3f\ntoken: com.johnsnowlabs.nlp.annotators.Tokenizer = REGEX_TOKENIZER_1c9886f789e1\npipeline: org.apache.spark.ml.Pipeline = pipeline_c453bde1e756\nresult: org.apache.spark.sql.DataFrame = [region: string, metadata: map<string,string> ... 2 more fields]\n[WrappedArray([token,0,5,Eahent,Map(sentence -> 1)], [token,7,7,I,Map(sentence -> 1)], [token,8,8,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,8,Financial,Map(sentence -> 1)], [token,10,16,Numbhba,Map(sentence -> 1)], [token,17,17,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,5,Random,Map(sentence -> 1)], [token,7,14,Hospital,Map(sentence -> 1)], [token,16,19,Date,Map(sentence -> 1)], [token,21,22,of,Map(sentence -> 1)], [token,24,28,Birth,Map(sentence -> 1)], [token,29,29,\n,Map(sentence -> 1)])]\n[WrappedArray()]\n[WrappedArray([token,0,3,Chic,Map(sentence -> 1)], [token,5,13,Complaint,Map(sentence -> 1)], [token,14,14,\n,Map(sentence -> 1)], [token,15,23,Shorinees,Map(sentence -> 1)], [token,25,26,of,Map(sentence -> 1)], [token,28,33,breath,Map(sentence -> 1)], [token,34,34,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,6,History,Map(sentence -> 1)], [token,8,9,of,Map(sentence -> 1)], [token,11,17,Fresent,Map(sentence -> 1)], [token,19,25,Hliness,Map(sentence -> 1)], [token,26,26,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,6,Patien!,Map(sentence -> 1)], [token,8,9,is,Map(sentence -> 1)], [token,11,12,an,Map(sentence -> 1)], [token,14,24,Bd-year-old,Map(sentence -> 1)], [token,26,29,male,Map(sentence -> 1)], [token,31,34,wilh,Map(sentence -> 1)], [token,36,36,a,Map(sentence -> 1)], [token,38,41,past,Map(sentence -> 1)], [token,43,49,medical,Map(sentence -> 1)], [token,51,57,history,Map(sentence -> 1)], [token,59,60,¢l,Map(sentence -> 1)], [token,62,73,hypertension,Map(sentence -> 1)], [token,74,74,,,Map(sentence -> 1)], [token,76,80,HFpEF,Map(sentence -> 1)], [token,82,85,12s],Map(sentence -> 1)], [token,86,86,\n,Map(sentence -> 1)], [token,87,87,\n,Map(sentence -> 1)], [token,88,92,known,Map(sentence -> 1)], [token,94,95,EF,Map(sentence -> 1)], [token,97,99,53%,Map(sentence -> 1)], [token,100,100,.,Map(sentence -> 1)], [token,102,105,mild,Map(sentence -> 1)], [token,107,108,to,Map(sentence -> 1)], [token,110,117,moderate,Map(sentence -> 1)], [token,119,120,TR,Map(sentence -> 1)], [token,121,121,,,Map(sentence -> 1)], [token,123,131,pulmonary,Map(sentence -> 1)], [token,133,144,hypertension,Map(sentence -> 1)], [token,145,145,,,Map(sentence -> 1)], [token,147,155,permanent,Map(sentence -> 1)], [token,157,162,atrial,Map(sentence -> 1)], [token,163,163,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,11,fibrillation,Map(sentence -> 1)], [token,13,14,on,Map(sentence -> 1)], [token,16,22,Eliquis,Map(sentence -> 1)], [token,23,23,,,Map(sentence -> 1)], [token,25,31,history,Map(sentence -> 1)], [token,33,34,of,Map(sentence -> 1)], [token,36,37,Gi,Map(sentence -> 1)], [token,39,43,bleed,Map(sentence -> 1)], [token,44,44,,,Map(sentence -> 1)], [token,46,50,CR-M3,Map(sentence -> 1)], [token,51,51,,,Map(sentence -> 1)], [token,53,55,and,Map(sentence -> 1)], [token,57,62,anemia,Map(sentence -> 1)], [token,64,66,who,Map(sentence -> 1)], [token,68,75,presents,Map(sentence -> 1)], [token,77,80,with,Map(sentence -> 1)], [token,82,84,ull,Map(sentence -> 1)], [token,86,90,wegks,Map(sentence -> 1)], [token,91,91,\n,Map(sentence -> 1)], [token,92,93,oi,Map(sentence -> 1)], [token,95,105,generalized,Map(sentence -> 1)], [token,107,113,fatigue,Map(sentence -> 1)], [token,115,117,and,Map(sentence -> 1)], [token,119,125,fecling,Map(sentence -> 1)], [token,127,132,umvell,Map(sentence -> 1)], [token,133,133,.,Map(sentence -> 1)], [token,135,136,He,Map(sentence -> 1)], [token,138,141,also,Map(sentence -> 1)], [token,143,147,notes,Map(sentence -> 1)], [token,149,152,some,Map(sentence -> 1)], [token,154,162,shortness,Map(sentence -> 1)], [token,164,165,of,Map(sentence -> 1)], [token,167,172,breath,Map(sentence -> 1)], [token,174,176,and,Map(sentence -> 1)], [token,177,177,\n,Map(sentence -> 1)], [token,178,186,worsening,Map(sentence -> 1)], [token,188,194,dyspnea,Map(sentence -> 1)], [token,196,199,wilh,Map(sentence -> 1)], [token,201,207,minimal,Map(sentence -> 1)], [token,209,216,éxerlion,Map(sentence -> 1)], [token,217,217,.,Map(sentence -> 1)], [token,219,221,His,Map(sentence -> 1)], [token,223,227,major,Map(sentence -> 1)], [token,229,238,complaints,Map(sentence -> 1)], [token,240,242,are,Map(sentence -> 1)], [token,244,251,shoulder,Map(sentence -> 1)], [token,253,255,and,Map(sentence -> 1)], [token,257,261,joint,Map(sentence -> 1)], [token,262,262,\n,Map(sentence -> 1)], [token,263,268,pains,,Map(sentence -> 1)], [token,270,278,diffusely,Map(sentence -> 1)], [token,279,279,.,Map(sentence -> 1)], [token,281,282,He,Map(sentence -> 1)], [token,284,287,also,Map(sentence -> 1)], [token,289,297,complains,Map(sentence -> 1)], [token,299,300,of,Map(sentence -> 1)], [token,302,306,\"bene,Map(sentence -> 1)], [token,308,312,pain’,Map(sentence -> 1)], [token,313,313,.,Map(sentence -> 1)], [token,315,316,He,Map(sentence -> 1)], [token,318,323,denies,Map(sentence -> 1)], [token,325,330,having,Map(sentence -> 1)], [token,332,334,any,Map(sentence -> 1)], [token,336,341,fevers,Map(sentence -> 1)], [token,343,344,or,Map(sentence -> 1)], [token,346,352,chills.,Map(sentence -> 1)], [token,353,353,\n,Map(sentence -> 1)], [token,354,355,He,Map(sentence -> 1)], [token,357,362,deries,Map(sentence -> 1)], [token,364,369,having,Map(sentence -> 1)], [token,371,373,any,Map(sentence -> 1)], [token,375,379,chest,Map(sentence -> 1)], [token,381,384,pain,Map(sentence -> 1)], [token,385,385,,,Map(sentence -> 1)], [token,387,398,palpitalicns,Map(sentence -> 1)], [token,399,399,,,Map(sentence -> 1)], [token,401,402,He,Map(sentence -> 1)], [token,404,409,denies,Map(sentence -> 1)], [token,411,413,any,Map(sentence -> 1)], [token,415,419,worse,Map(sentence -> 1)], [token,421,429,sxtramity,Map(sentence -> 1)], [token,430,430,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,7,swelling,Map(sentence -> 1)], [token,9,12,than,Map(sentence -> 1)], [token,14,16,his,Map(sentence -> 1)], [token,18,25,baseline,Map(sentence -> 1)], [token,26,26,.,Map(sentence -> 1)], [token,28,29,He,Map(sentence -> 1)], [token,31,36,states,Map(sentence -> 1)], [token,38,41,ha's,Map(sentence -> 1)], [token,43,46,teen,Map(sentence -> 1)], [token,48,56,compliant,Map(sentence -> 1)], [token,58,61,with,Map(sentence -> 1)], [token,63,65,his,Map(sentence -> 1)], [token,67,77,medications,Map(sentence -> 1)], [token,78,78,.,Map(sentence -> 1)], [token,80,87,Although,Map(sentence -> 1)], [token,88,88,\n,Map(sentence -> 1)], [token,89,90,he,Map(sentence -> 1)], [token,92,97,stales,Map(sentence -> 1)], [token,99,100,he,Map(sentence -> 1)], [token,102,104,ran,Map(sentence -> 1)], [token,106,108,out,Map(sentence -> 1)], [token,110,111,of,Map(sentence -> 1)], [token,113,115,his,Map(sentence -> 1)], [token,117,123,Eliquis,Map(sentence -> 1)], [token,125,125,&,Map(sentence -> 1)], [token,127,129,few,Map(sentence -> 1)], [token,131,135,wesks,Map(sentence -> 1)], [token,137,139,ago,Map(sentence -> 1)], [token,140,140,.,Map(sentence -> 1)], [token,142,143,He,Map(sentence -> 1)], [token,145,150,denies,Map(sentence -> 1)], [token,152,157,having,Map(sentence -> 1)], [token,159,161,any,Map(sentence -> 1)], [token,163,167,blood,Map(sentence -> 1)], [token,169,170,in,Map(sentence -> 1)], [token,172,174,his,Map(sentence -> 1)], [token,175,175,\n,Map(sentence -> 1)], [token,176,181,stools,Map(sentence -> 1)], [token,183,184,or,Map(sentence -> 1)], [token,186,191,meiena,Map(sentence -> 1)], [token,192,192,,,Map(sentence -> 1)], [token,194,201,although,Map(sentence -> 1)], [token,203,204,he,Map(sentence -> 1)], [token,206,209,does,Map(sentence -> 1)], [token,211,214,1ake,Map(sentence -> 1)], [token,216,219,iron,Map(sentence -> 1)], [token,221,225,pills,Map(sentence -> 1)], [token,227,229,and,Map(sentence -> 1)], [token,231,236,states,Map(sentence -> 1)], [token,238,240,his,Map(sentence -> 1)], [token,242,247,stools,Map(sentence -> 1)], [token,249,251,arc,Map(sentence -> 1)], [token,253,262,frequently,Map(sentence -> 1)], [token,264,268,black,Map(sentence -> 1)], [token,269,269,\n,Map(sentence -> 1)], [token,270,272,His,Map(sentence -> 1)], [token,274,283,hemoglobin,Map(sentence -> 1)], [token,285,286,is,Map(sentence -> 1)], [token,288,289,a1,Map(sentence -> 1)], [token,291,299,baseline.,Map(sentence -> 1)], [token,300,300,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,10,Twelve-lead,Map(sentence -> 1)], [token,12,14,EKG,Map(sentence -> 1)], [token,16,22,showing,Map(sentence -> 1)], 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1)])]\n[WrappedArray([token,0,7,07/16/17,Map(sentence -> 1)], [token,8,8,\n,Map(sentence -> 1)], [token,9,13,05:30,Map(sentence -> 1)])]\n[WrappedArray([token,0,2,102,Map(sentence -> 1)], [token,4,8,mg/dL,Map(sentence -> 1)], [token,9,9,\n,Map(sentence -> 1)], [token,10,12,143,Map(sentence -> 1)], [token,14,19,MMOL/L,Map(sentence -> 1)], [token,20,20,\n,Map(sentence -> 1)], [token,21,23,3.6,Map(sentence -> 1)], [token,25,30,MMOL/L,Map(sentence -> 1)], [token,31,31,\n,Map(sentence -> 1)], [token,32,33,98,Map(sentence -> 1)], [token,35,40,MMOL/L,Map(sentence -> 1)], [token,41,41,\n,Map(sentence -> 1)], [token,42,43,40,Map(sentence -> 1)], [token,45,50,MMOL/L,Map(sentence -> 1)], [token,51,51,\n,Map(sentence -> 1)], [token,52,53,26,Map(sentence -> 1)], [token,55,59,mg/dL,Map(sentence -> 1)], [token,60,60,\n,Map(sentence -> 1)], [token,61,64,1.23,Map(sentence -> 1)], [token,66,70,mg/dL,Map(sentence -> 1)], [token,71,71,\n,Map(sentence -> 1)], [token,72,73,“3,Map(sentence -> 1)])]\n[WrappedArray([token,0,0,7,Map(sentence -> 1)], [token,1,1,.,Map(sentence -> 1)], [token,4,8,mg/dL,Map(sentence -> 1)], [token,9,9,\n,Map(sentence -> 1)], [token,10,17,07/16/17,Map(sentence -> 1)])]\n[WrappedArray([token,0,1,44,Map(sentence -> 1)], [token,3,3,/,Map(sentence -> 1)], [token,5,6,ni,Map(sentence -> 1)], [token,7,7,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,1,10,Map(sentence -> 1)], [token,2,2,.,Map(sentence -> 1)], [token,5,8,G/DL,Map(sentence -> 1)], [token,9,9,\n,Map(sentence -> 1)], [token,10,11,30,Map(sentence -> 1)], [token,13,13,4,Map(sentence -> 1)], [token,15,17,04,,Map(sentence -> 1)], [token,18,18,\n,Map(sentence -> 1)])]\n[WrappedArray([token,0,0,3,Map(sentence -> 1)], [token,1,1,.,Map(sentence -> 1)], [token,5,7,/PL,Map(sentence -> 1)], [token,8,8,\n,Map(sentence -> 1)], [token,9,12,95.0,Map(sentence -> 1)], [token,14,15,FL,Map(sentence -> 1)], [token,16,16,\n,Map(sentence -> 1)], [token,17,20,29.6,Map(sentence -> 1)], [token,22,23,pa,Map(sentence -> 1)], [token,24,24,\n,Map(sentence -> 1)])]\n[WrappedArray()]\n[WrappedArray()]\n[WrappedArray()]\n[WrappedArray([token,0,11,PovwerGheard,Map(sentence -> 1)], [token,12,12,\n,Map(sentence -> 1)])]\n"}]},"apps":[],"jobName":"paragraph_1534728244051_-1603791835","id":"20180819-222404_939441642","dateCreated":"2018-08-19T22:24:04-0300","dateStarted":"2018-09-09T20:23:17-0300","dateFinished":"2018-09-09T20:23:21-0300","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:172"},{"title":"Create Pipeline Stages - Spell Checking","text":"\nval spellChecker = NorvigSweetingModel.load(\"schecker_norvig\").\nsetInputCols(\"token\").\nsetOutputCol(\"checked_token\")\n\nval finisher = new Finisher().\nsetInputCols(\"checked_token\")\n\nval pipeline = new Pipeline().setStages(Array(documentAssembler, token, spellChecker, finisher)) \nval result = pipeline.fit(data).transform(data)\n\nresult.select(\"finished_checked_token\").as[Array[String]].collect().foreach { a => \n println(\"---------------\")\n println(a.mkString(\" \"))\n}\n","user":"anonymous","dateUpdated":"2018-09-09T20:23:21-0300","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala","title":true},"settings":{"params":{},"forms":{}},"results":{"code":"SUCCESS","msg":[{"type":"TEXT","data":"spellChecker: com.johnsnowlabs.nlp.annotators.spell.norvig.NorvigSweetingModel = SPELL_8dee2bfbbcce\nfinisher: com.johnsnowlabs.nlp.Finisher = finisher_2b88e5390911\npipeline: org.apache.spark.ml.Pipeline = pipeline_3ae6cb31b380\nresult: org.apache.spark.sql.DataFrame = [region: string, metadata: map<string,string> ... 1 more field]\n---------------\npatent I \n\n---------------\nfinancial Numbhba \n\n---------------\nrandom hospital state of sixth \n\n---------------\n\n---------------\nthis complaint \n Shorinees of breath \n\n---------------\nhistory of presents illness \n\n---------------\npatient is an Bd-year-old male which a past medical history ¢l hypertension , HFpEF 12s] \n \n known EF 53% . mild to moderate TR , pulmonary hypertension , permanent atrial \n\n---------------\nfibrillation on liquids , history of Gi bleed , CR-M3 , and anemia who presents with ull peaks \n oi generalized fatigue and falling unveil . He also notes some shortness of breath and \n worsening dyspnea which minimal exertion . His major complaints are shoulder and joint \n plains diffusely . He also complains of obese pacing . He denies having any fevers or chilled \n He devices having any chest pain , palpitations , He denies any worse extremity \n\n---------------\nswelling than his baseline . He states have teen compliant with his medications . although \n he status he ran out of his liquids & few weeks ago . He denies having any blood in his \n stools or modena , although he does have iron pills and states his stools arc frequently black \n His hemoglobin is a1 baselines \n\n---------------\nTwelve-lead EKG showing atrial fibrillation , RBBEG , LAFH , PVU . achest array showing naw \n small right greater than left pleural effusions with mild pulmonary vascular congestion . BNP \n increased to ty800 , up from 1900 . troponin 0.03 . renal function &t baseline . hemoglobin \n ={ baselines \n\n---------------\nShe normally takes B0 mag of oral basis daily . He was given 80 mg of IV basis in the EL, \n He is currently net negative close to 1 L . He is still en 2 L nasal cannulae \n\n---------------\nreview of Hysioms \n\n---------------\nA 10 system review of systems was completed and negative except as documented in Hel \n\n---------------\nphysical exam \n\n---------------\nmetals & measurements \n T: 36 . °C (Cral) TMIN: 36 . \"C (Oral) TMAX: 37 . “C (Cral} HR: 54 RR: 17 \n \n BP: 140/83 WT: 100 . KG \n \n rules Ox: 100 % oxygens 2 lamin via causal cannula \n \n GENERAL: no macules distress \n \n HEAD: normocephalic \n \n EYES/EARS/NOSEMTHROAT: pupils are equal , normal oropharynx \n NECK: normal inspection \n \n RESPIRATORY: no respiratory distress , no rales on my exam \n CARDIOVASCULAR: irregular . brady . no murmurs , rubs or gallops \n ABDOMEN: soft , nontender \n \n EXTREMITIES: bilateral chronic venous stasis changes \n NEUROLOGIC: alert and oriented x 3 . no gross molar ar sensory deficits \n\n---------------\n\n---------------\nelute on chronic diastolic CHF congestive heart failures \n elute an chronic diastolic heart failure exacerbation . male pleural effusions bilaterally \n \n with mild pulmonary vascular congestion on chest array , slight elevation in BNE . well \n continue 1 more day of IV diuresis with 80 mq IV basis . He may have had a viral infection \n which precipitated his . well add tylenol for his joint pains . continue atenolol and \n chlorthalidenc.\n---------------\nAF - trials fibrillation \n permanent atrial fibrillation . states bradycardic in the £05 . continue atenolol with hold \n\n---------------\nparameters . continue eliquis for stroke prevention . No evidence oi bleeding . hemog.oom \n al handling \n\n---------------\nprinted 79720417 13:07 EDT have 16 of 42 \n\n---------------\n\n---------------\n\n---------------\nCHIE - Congashive early failure \n\n---------------\nchronic coney disease \n\n---------------\nchronic venous nsyiiiciency \n\n---------------\nedema \n\n---------------\nGl bleeding \n\n---------------\n\n---------------\n\n---------------\nhypertension \n\n---------------\ngarlic ulcer \n\n---------------\nPanipheral neuropathy \n\n---------------\nperipheral vascular disease \n\n---------------\npulmonary hypertension \n\n---------------\nfungus regurgitation \n histories\n---------------\nNo equalising dala \n\n---------------\nFrocedura/Suragical history \n\n---------------\nduodenal resection . duodenojejunostomy. \n small bowel enterotomy , removal of foreign \n object and repair of enterotomy (05/21/2014), \n colonoscopy (12/10/2013) , egd (12/09/2013). \n HO endoscopy (07/2013) , H/Q colonoscopy \n (03/2013), pilonidal case removal at base of \n spine (1881) , laser eye surgery for glaucoma \n lesions on small intestine closed up. \n\n---------------\nsome medications \n some\n---------------\nallopurinol 300 rg oral labile , 3C0 MG=1 \n TAB, PO . family \n\n---------------\ndlenclol 25 mg oral stable , 25 MG= 1 AL, \n PO, family \n\n---------------\nchlorthalidone 25 mg oral tablet , 25 MG= \n 1 TAB . PO , MAF \n\n---------------\ncombigan 0.2%-0 . ophthalra:c \n evolution 1 DROP , mouth types , b12 \n\n---------------\nliquids 5 mg oral labile , 5 MG=1 TAB, \n PO. BID \n\n---------------\nerrors sulfate 325 mg (D5 mg elemental \n front oral tablet , 323 MG= 1 TAB , PO, \n family\n---------------\nbasis 80 mg oral tablet . B0MG=1 TAB \n PO BID \n\n---------------\nomeprazole 20 mg oral delayed rCicasc \n capsular 20 MG= 1 CAP PO , BID \n\n---------------\npercocet 3/3235 oral tablet . 1 1AB , PO. \n QAM\n---------------\npotassium chloride 20 maize oral 1abiet, \n extended release , 20 MEQ= 1 TAB , PO, \n family\n---------------\nsertraline 50 mg oral tibial , 75 kG= 1.0 \n TAB. PO . family \n\n---------------\nIriameinoiona 0 . typical cream , 1 APE \n topicale family \n\n---------------\nnamemaoiona 0 . typical omimeni , 1 \n APP, topical , daily \n\n---------------\nPowearChart \n\n---------------\nsalient have \n financial lumbar \n state of sixth \n patient rotation \n\n---------------\nrandom hospital \n\n---------------\nH&P \n anemia \n At baszhne \n arthritis\n---------------\ntylenol for pain . salient also lakes Pareoce! al home , pain add ls on. \n chronic kidney disease \n At baseline . monitor while divresing. \n hypertension pressures within tolerable ranged \n pulmonary hypertension \n tricuspid regurgitation \n Lild-to-moderzie on echocardiogram last heart \n\n---------------\nAticnding physician nota-the patient was interviewed and examined . The appropnalc \n information in power chain was reviewed . The patient was discussed which Dr , Parsad, \n patient may have a mild degree of heart failure . He and his white were more concerned with \n hes peripheral edema . He has underlying renal insufficiency as well . sell Iry 10 diurese \n him 10 his dry weight . We will that try to adjust his medications lo knee him within 2 \n natural range of hat weight . We will stop his atenolol this point since he is relatively \n bradycardic and observe his heart rate on the cardiac monitor . He will progress with his \n care and activity as tolerate \n\n---------------\nvitamin 2 50 , final units (1 . mQ) oral \n\n---------------\ncapsule , 1 TAB , PQ , Weexly-Tue \n \n allergies (cout) \n \n sulfa drug maculopapular crash \n \n facial Hislary \n \n vary smoker tobacco formed smoker \n alcohol use - frequency among \n shrug upset every \n \n Lab results \n 0715547 05:30 a 07168117 05:30 \n\n---------------\n1431L88IH26/ \n 102\n---------------\n\n---------------\n\n---------------\n\\L10.3/ \n 3.4 = b12 \n\n---------------\n\n---------------\n\n---------------\nhave 17 of 42 \n\n---------------\n\n---------------\n\n---------------\n\n---------------\n\n---------------\n\n---------------\nTOTAL COZ \n BUN\n---------------\n\n---------------\nANION GAF \n CA\n---------------\n\n---------------\nwell \n HGB\n---------------\n07/16/17 \n 05:30\n---------------\n102 gg/dm \n 143 MMOL/L \n 3.6 MMOL/L \n 98 MMOL/L \n 40 MMOL/L \n 26 gg/dm \n 1.23 gg/dm \n “3\n---------------\n7 . gg/dm \n 07/16/17\n---------------\n44 / ni \n\n---------------\n10 . G/DL \n 30 4 04, \n\n---------------\n3 . /PL \n b50 FL \n 29.6 pa \n\n---------------\n\n---------------\n\n---------------\n\n---------------\nPovwerGheard \n\n"}]},"apps":[],"jobName":"paragraph_1536029364520_581758372","id":"20180903-234924_149806536","dateCreated":"2018-09-03T23:49:24-0300","dateStarted":"2018-09-09T20:23:21-0300","dateFinished":"2018-09-09T20:24:28-0300","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:173"},{"user":"anonymous","dateUpdated":"2018-09-09T20:24:29-0300","config":{"colWidth":12,"fontSize":9,"enabled":true,"results":{},"editorSetting":{"language":"scala","editOnDblClick":false,"completionKey":"TAB","completionSupport":true},"editorMode":"ace/mode/scala"},"settings":{"params":{},"forms":{}},"apps":[],"jobName":"paragraph_1536272508736_-1384125146","id":"20180906-192148_660463715","dateCreated":"2018-09-06T19:21:48-0300","status":"FINISHED","progressUpdateIntervalMs":500,"$$hashKey":"object:174"}],"name":"OcrSpellChecking","id":"2DNNMWS53","noteParams":{},"noteForms":{},"angularObjects":{"spark:shared_process":[]},"config":{"isZeppelinNotebookCronEnable":false,"looknfeel":"default","personalizedMode":"false"},"info":{}}
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