Electronic health records-driven phenotyping: Challenges, recent advances, and perspectives

Journal of the American Medical Informatics Association

Volumn 20, Issue E2, 2013, Pages

  Pathak, Jyotishman ^a   Kho, Abel N ^b   Denny, Joshua C ^c  

^a MAYO CLINIC   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COLORECTAL CANCER; COMPARATIVE EFFECTIVENESS; DIABETES MELLITUS; DISEASE COURSE; DOCUMENTATION; EDITORIAL; ELECTRONIC MEDICAL RECORD; GENE FUNCTION; GENETIC VARIABILITY; GENOTYPE; HEALTH CARE ORGANIZATION; HEALTH CARE SYSTEM; HEALTH CENTER; HUMAN; HUMAN GENOME PROJECT; INFORMATION SCIENCE; MACHINE LEARNING; MEDICAL INFORMATICS; MULTIPLE SCLEROSIS; PERIPHERAL OCCLUSIVE ARTERY DISEASE; PERSONALIZED MEDICINE; PHENOTYPE; PROCESS MODEL; RHEUMATOID ARTHRITIS; TECHNOLOGY; UNIVERSITY HOSPITAL; VENOUS THROMBOEMBOLISM;

ACADEMIC MEDICAL CENTERS; ALGORITHMS; ELECTRONIC HEALTH RECORDS; GENETIC ASSOCIATION STUDIES; GENOMICS; HUMANS; PHENOTYPE;

EID: 84890479944     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002428     Document Type: Editorial

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