Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials

Journal of the American Medical Informatics Association

Volumn 22, Issue e1, 2015, Pages e141-e150

  Miotto, Riccardo ^a   Weng, Chunhua ^a,b  

^a Department of Biomedical Informatics ^*  (United States)

^b Howard Hughes Medical Institute   (United States)

Author keywords

Artificial intelligence; Clinical trials; Electronic health records; Information storage and retrieval

Indexed keywords

ACCURACY; ARTICLE; CASE BASED REASONING; CLINICAL RESEARCH; CLINICAL TRIAL (TOPIC); CONCEPTUAL FRAMEWORK; COST EFFECTIVENESS ANALYSIS; ELECTRONIC MEDICAL RECORD; HUMAN; INFORMATION RETRIEVAL; PATIENT CODING; PATIENT SELECTION; RECEIVER OPERATING CHARACTERISTIC; UNITED STATES; VALIDATION STUDY; ARTIFICIAL INTELLIGENCE; ELECTRONIC HEALTH RECORD; ORGANIZATION AND MANAGEMENT; PROCEDURES; RANDOMIZED CONTROLLED TRIAL (TOPIC);

ARTIFICIAL INTELLIGENCE; ELECTRONIC HEALTH RECORDS; ELIGIBILITY DETERMINATION; HUMANS; INFORMATION STORAGE AND RETRIEVAL; PATIENT SELECTION; RANDOMIZED CONTROLLED TRIALS AS TOPIC; ROC CURVE;

EID: 84940389461     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocu050     Document Type: Article

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