A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach.

Pham, Thai-Hoang; Yin, Changchang; Mehta, Laxmi; Zhang, Xueru; Zhang, Ping

Pham, Thai-Hoang; Yin, Changchang; Mehta, Laxmi; Zhang, Xueru; Zhang, Ping.

Afiliación

Pham TH; Department of Computer Science and Engineering, The Ohio State University, Columbus, USA.
Yin C; Department of Biomedical Informatics, The Ohio State University, Columbus, USA.
Mehta L; Department of Computer Science and Engineering, The Ohio State University, Columbus, USA.
Zhang X; Department of Biomedical Informatics, The Ohio State University, Columbus, USA.
Zhang P; Division of Cardiology, Department of Medicine, The Ohio State University, Columbus, USA.

Knowl Inf Syst ; 65(4): 1487-1521, 2023 Apr.

Article en En | MEDLINE | ID: mdl-36998311

Palabras clave

Attention; Complication risk profiling; Contrastive learning; Equal opportunity; Fairness; Multi-task; Multi-view; Regularization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Knowl Inf Syst Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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