Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health.

Wesson, Paul; Hswen, Yulin; Valdes, Gilmer; Stojanovski, Kristefer; Handley, Margaret A

Wesson, Paul; Hswen, Yulin; Valdes, Gilmer; Stojanovski, Kristefer; Handley, Margaret A.

Afiliação

Wesson P; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; email: Margaret.Handley@ucsf.edu.
Hswen Y; Bakar Computational Health Sciences Institute, University of California, San Francisco, California, USA.
Valdes G; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; email: Margaret.Handley@ucsf.edu.
Stojanovski K; Bakar Computational Health Sciences Institute, University of California, San Francisco, California, USA.
Handley MA; Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA; email: Margaret.Handley@ucsf.edu.

Annu Rev Public Health ; 43: 59-78, 2022 04 05.

Article em En | MEDLINE | ID: mdl-34871504

Assuntos

Big Data; Saúde Pública; Algoritmos; Viés; Humanos; Aprendizado de Máquina

Palavras-chave

health equity; machine learning; multilevel models; multiple systems estimation

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saúde Pública / Big Data Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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