Mining for equitable health: Assessing the impact of missing data in electronic health records.

Getzen, Emily; Ungar, Lyle; Mowery, Danielle; Jiang, Xiaoqian; Long, Qi

Getzen, Emily; Ungar, Lyle; Mowery, Danielle; Jiang, Xiaoqian; Long, Qi.

Afiliação

Getzen E; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: getzene@pennmedicine.upenn.edu.
Ungar L; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, United States.
Mowery D; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States.
Jiang X; UTHealth School of Biomedical Informatics, Houston, TX, United States.
Long Q; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States. Electronic address: qlong@upenn.edu.

J Biomed Inform ; 139: 104269, 2023 03.

Article em En | MEDLINE | ID: mdl-36621750

Assuntos

Atenção à Saúde; Registros Eletrônicos de Saúde; Humanos; Estados Unidos; Unidades de Terapia Intensiva

Palavras-chave

Electronic health records; Fairness; Health disparities; Knowledge graph; Missing data

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Texto completo: 1 Temas: ECOS / Equidade_desigualdade Bases de dados: MEDLINE Assunto principal: Atenção à Saúde / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article

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