Development and application of pharmacological statin-associated muscle symptoms phenotyping algorithms using structured and unstructured electronic health records data.

Sun, Boguang; Yew, Pui Ying; Chi, Chih-Lin; Song, Meijia; Loth, Matt; Zhang, Rui; Straka, Robert J

Sun, Boguang; Yew, Pui Ying; Chi, Chih-Lin; Song, Meijia; Loth, Matt; Zhang, Rui; Straka, Robert J.

Afiliação

Sun B; Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Minneapolis, MN 55455, United States.
Yew PY; Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN 55455, United States.
Chi CL; Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN 55455, United States.
Song M; School of Nursing, University of Minnesota, Minneapolis, MN 55455, United States.
Loth M; School of Nursing, University of Minnesota, Minneapolis, MN 55455, United States.
Zhang R; Center for Learning Health System Sciences, University of Minnesota Medical School, Minneapolis, MN 55455, United States.
Straka RJ; Institute for Health Informatics, Office of Academic Clinical Affairs, University of Minnesota, Minneapolis, MN 55455, United States.

JAMIA Open ; 6(4): ooad087, 2023 Dec.

Article em En | MEDLINE | ID: mdl-37881784

Palavras-chave

electronic health records; hydroxymethylglutaryl-CoA reductase inhibitors; machine learning; phenotyping; precision medicine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article