Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19.

Chung, Heewon; Park, Chul; Kang, Wu Seong; Lee, Jinseok

Chung, Heewon; Park, Chul; Kang, Wu Seong; Lee, Jinseok.

Afiliación

Chung H; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, South Korea.
Park C; Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, South Korea.
Kang WS; Department of Trauma Surgery, Cheju Halla General Hospital, Jeju-si, South Korea.
Lee J; Department of Biomedical Engineering, College of Electronics and Information, Kyung Hee University, Yongin-si, South Korea.

Front Physiol ; 12: 778720, 2021.

Article en En | MEDLINE | ID: mdl-34912242

Palabras clave

COVID-19; artificial intelligence bias; feature importance; gender dependent bias; severity prediction

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article País de afiliación: Corea del Sur

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