Comparison of machine learning methods for predicting viral failure: a case study using electronic health record data.

Kimaina, Allan; Dick, Jonathan; DeLong, Allison; Chrysanthopoulou, Stavroula A; Kantor, Rami; Hogan, Joseph W

Kimaina, Allan; Dick, Jonathan; DeLong, Allison; Chrysanthopoulou, Stavroula A; Kantor, Rami; Hogan, Joseph W.

Afiliação

Kimaina A; Moi University, Eldoret, Kenya.
Dick J; Brown University, Providence, RI, USA.
DeLong A; Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Chrysanthopoulou SA; Indiana University, Indianapolis, IN, USA.
Kantor R; Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya.
Hogan JW; Brown University, Providence, RI, USA.

Stat Commun Infect Dis ; 12(Suppl1): 20190017, 2020 Sep 01.

Article em En | MEDLINE | ID: mdl-37288469

Palavras-chave

HIV/AIDS; clinical prediction rules; machine learning; viral failure

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Stat Commun Infect Dis Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Quênia

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