Learning probabilistic phenotypes from heterogeneous EHR data.

Pivovarov, Rimma; Perotte, Adler J; Grave, Edouard; Angiolillo, John; Wiggins, Chris H; Elhadad, Noémie

Pivovarov, Rimma; Perotte, Adler J; Grave, Edouard; Angiolillo, John; Wiggins, Chris H; Elhadad, Noémie.

Afiliação

Pivovarov R; Department of Biomedical Informatics, Columbia University, 622 W. 168th Street, New York, NY, USA. Electronic address: rip7002@nyp.org.
Perotte AJ; Department of Biomedical Informatics, Columbia University, 622 W. 168th Street, New York, NY, USA. Electronic address: ajp2120@cumc.columbia.edu.
Grave E; Department of Biomedical Informatics, Columbia University, 622 W. 168th Street, New York, NY, USA. Electronic address: eg2795@cumc.columbia.edu.
Angiolillo J; College of Physicians and Surgeons, Columbia University, New York, NY, USA. Electronic address: ja2686@cumc.columbia.edu.
Wiggins CH; Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USA. Electronic address: chw2@columbia.edu.
Elhadad N; Department of Biomedical Informatics, Columbia University, 622 W. 168th Street, New York, NY, USA. Electronic address: noemie.elhadad@columbia.edu.

J Biomed Inform ; 58: 156-165, 2015 Dec.

Article em En | MEDLINE | ID: mdl-26464024

Assuntos

Registros Eletrônicos de Saúde; Aprendizagem; Probabilidade; Humanos; Fenótipo

Palavras-chave

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

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Probabilidade / Registros Eletrônicos de Saúde / Aprendizagem Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2015 Tipo de documento: Article

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