Fairness in the prediction of acute postoperative pain using machine learning models.

Davoudi, Anis; Sajdeya, Ruba; Ison, Ron; Hagen, Jennifer; Rashidi, Parisa; Price, Catherine C; Tighe, Patrick J

Davoudi, Anis; Sajdeya, Ruba; Ison, Ron; Hagen, Jennifer; Rashidi, Parisa; Price, Catherine C; Tighe, Patrick J.

Afiliação

Davoudi A; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United Sates.
Sajdeya R; Department of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, FL, United States.
Ison R; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United Sates.
Hagen J; Department of Orthopedic Surgery, University of Florida College of Medicine, Gainesville, FL, United States.
Rashidi P; Department of Biomedical Engineering, University of Florida Herbert Wertheim College of Engineering, Gainesville, FL, United States.
Price CC; Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL, United Sates.
Tighe PJ; Department of Clinical and Health Psychology, University of Florida College of Public Health and Health Professions, Gainesville, FL, United States.

Front Digit Health ; 4: 970281, 2022.

Article em En | MEDLINE | ID: mdl-36714611

Palavras-chave

algorithmic bias; clinical decision support systems; machine learing; orthopedic procedures; postoperative pain

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Digit Health Ano de publicação: 2022 Tipo de documento: Article

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