A review of approaches to identifying patient phenotype cohorts using electronic health records

Journal of the American Medical Informatics Association

Volumn 21, Issue 2, 2014, Pages 221-230

  Shivade, Chaitanya ^a   Raghavan, Preethi ^a   Fosler Lussier, Eric ^a   Embi, Peter J ^b   Elhadad, Noemie ^c   Johnson, Stephen B ^d   Lai, Albert M ^b  

^a Ohio State University   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

^d WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COHORT IDENTIFICATION; ELECTRONIC HEALTH RECORDS; PHENOTYPING; REVIEW;

ARTIFICIAL INTELLIGENCE; DATA MINING; DIAGNOSIS; ELECTRONIC HEALTH RECORDS; HUMANS; NATURAL LANGUAGE PROCESSING; PHENOTYPE; STATISTICS AS TOPIC; VOCABULARY, CONTROLLED;

EID: 84894026081     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001935     Document Type: Article

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