Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction.

Li, Fuchen; Wu, Patrick; Ong, Henry H; Peterson, Josh F; Wei, Wei-Qi; Zhao, Juan

Li, Fuchen; Wu, Patrick; Ong, Henry H; Peterson, Josh F; Wei, Wei-Qi; Zhao, Juan.

Afiliação

Li F; College of Art and Science, Vanderbilt University, Nashville, TN, USA.
Wu P; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Ong HH; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Peterson JF; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Wei WQ; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Zhao J; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: juan.zhao@heart.org.

J Biomed Inform ; 138: 104294, 2023 02.

Article em En | MEDLINE | ID: mdl-36706849

Assuntos

Doenças Cardiovasculares; Humanos; Feminino; Pessoa de Meia-Idade; Masculino; Aprendizado de Máquina; Algoritmos; Algoritmo Florestas Aleatórias; Modelos Logísticos

Palavras-chave

Bias mitigation; Cardiovascular diseases; Clinical predictive models; Electronic health records; Fairness; Machine learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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