Prevalence of heart failure signs and symptoms in a large primary care population identified through the use of text and data mining of the electronic health record

Journal of Cardiac Failure

Volumn 20, Issue 7, 2014, Pages 459-464

  Vijayakrishnan, Rajakrishnan ^a   Steinhubl, Steven R ^a,b   Ng, Kenney ^c   Sun, Jimeng ^c,d   Byrd, Roy J ^c   Daar, Zahra ^a   Williams, Brent A ^a   Defilippi, Christopher ^e   Ebadollahi, Shahram ^c   Stewart, Walter F ^f  

^a GEISINGER MEDICAL CENTER   (United States)

^b SCRIPPS TRANSLATIONAL SCIENCE INSTITUTE   (United States)

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

^d GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^e UNIVERSITY OF MARYLAND   (United States)

^f SUTTER HEALTH   (United States)

Author keywords

electronic health records; Heart failure; natural language processing

Indexed keywords

AGED; ARTICLE; CASE CONTROL STUDY; COHORT ANALYSIS; CONTROLLED STUDY; DATA MINING; ELECTRONIC MEDICAL RECORD; FEMALE; FRAMINGHAM RISK SCORE; HEART FAILURE; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL DOCUMENTATION; NATURAL LANGUAGE PROCESSING; PHYSICAL DISEASE BY BODY FUNCTION; PREVALENCE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; HEALTH SURVEY; MIDDLE AGED; PRIMARY HEALTH CARE; PROCEDURES; UTILIZATION; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CASE-CONTROL STUDIES; COHORT STUDIES; DATA MINING; ELECTRONIC HEALTH RECORDS; FEMALE; HEART FAILURE; HUMANS; MALE; MIDDLE AGED; POPULATION SURVEILLANCE; PREVALENCE; PRIMARY HEALTH CARE; RETROSPECTIVE STUDIES;

EID: 84903893026     PISSN: 10719164     EISSN: 15328414     Source Type: Journal    
DOI: 10.1016/j.cardfail.2014.03.008     Document Type: Article

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