Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

International Journal of Medical Informatics

Volumn 83, Issue 12, 2014, Pages 983-992

  Byrd, Roy J ^a   Steinhubl, Steven R ^b   Sun, Jimeng ^a   Ebadollahi, Shahram ^a   Stewart, Walter F ^c  

^a IBM T J WATSON RESEARCH CENTER   (United States)

^b GEISINGER MEDICAL CENTER   (United States)

^c SUTTER HEALTH   (United States)

Author keywords

Diagnostic criteria; Electronic health records; Heart failure; Natural language processing; Text mining

Indexed keywords

AUTOMATION; CARDIOLOGY; DATA MINING; DECISION SUPPORT SYSTEMS; DIAGNOSIS; HEALTH; RECORDS MANAGEMENT;

DIAGNOSTIC CRITERIA; ELECTRONIC HEALTH RECORD; HEART FAILURE; NATURAL LANGUAGE PROCESSING; TEXT MINING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

ARTICLE; CARDIOLOGIST; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; FRAMINGHAM RISK SCORE; HEART FAILURE; HUMAN; INFORMATION PROCESSING; INFORMATION RETRIEVAL; MEDICAL TERMINOLOGY; NATURAL LANGUAGE PROCESSING; PERFORMANCE MEASUREMENT SYSTEM; PHYSICAL DISEASE BY BODY FUNCTION; PREDICTIVE VALUE; PRIMARY MEDICAL CARE; RECALL; SCORING SYSTEM; COHORT ANALYSIS; DATA MINING; HEALTH SURVEY; PRIMARY HEALTH CARE; PROCEDURES; UTILIZATION;

AUTOMATIC DATA PROCESSING; COHORT STUDIES; DATA MINING; ELECTRONIC HEALTH RECORDS; HEART FAILURE; HUMANS; NATURAL LANGUAGE PROCESSING; POPULATION SURVEILLANCE; PRIMARY HEALTH CARE;

EID: 84919461605     PISSN: 13865056     EISSN: 18728243     Source Type: Journal    
DOI: 10.1016/j.ijmedinf.2012.12.005     Document Type: Article

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