Learning probabilistic phenotypes from heterogeneous EHR data

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages 156-165

  Pivovarov, Rimma ^a   Perotte, Adler J ^a   Grave, Edouard ^a   Angiolillo, John ^b   Wiggins, Chris H ^c   Elhadad, Noémie ^a  

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

^b NONE   (United States)

^c NONE   (United States)

Author keywords

Clinical phenotype modeling; Computational disease models; Electronic health record; Medical information systems; Phenotyping; Probabilistic modeling

Indexed keywords

INTENSIVE CARE UNITS; MEDICAL INFORMATION SYSTEMS;

DISEASE MODELS; ELECTRONIC HEALTH RECORD; LARGE SCALE DISCOVERY; PHENOTYPING; PROBABILISTIC GRAPHICAL MODELS; PROBABILISTIC MODELING; QUANTITATIVE EVALUATION; RESEARCH COMMUNITIES;

DIAGNOSIS;

ARTICLE; COMPARATIVE STUDY; CONTROLLED STUDY; INTENSIVE CARE UNIT; IRON DEFICIENCY ANEMIA; LEARNING ALGORITHM; MATHEMATICAL MODEL; MEDICAL RECORD; OUTPATIENT CARE; PATIENT MONITORING; PHENOTYPE; PRIORITY JOURNAL; PROBABILITY; ELECTRONIC HEALTH RECORD; HUMAN; LEARNING;

ELECTRONIC HEALTH RECORDS; HUMANS; LEARNING; PHENOTYPE; PROBABILITY;

EID: 84947906337     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.10.001     Document Type: Article

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