DECAF: An interpretable deep cascading framework for ICU mortality prediction.

Jiang, Jingchi; Yu, Xuehui; Wang, Boran; Ma, Linjiang; Guan, Yi

Jiang, Jingchi; Yu, Xuehui; Wang, Boran; Ma, Linjiang; Guan, Yi.

Afiliação

Jiang J; Department of Computer Science and Technology, Harbin Institute of Technology, China; Artificial Intelligence Research Institute, Harbin Institute of Technology, China. Electronic address: jiangjingchi@hit.edu.cn.
Yu X; Department of Computer Science and Technology, Harbin Institute of Technology, China. Electronic address: yuxuehui@hit.edu.cn.
Wang B; Department of Computer Science and Technology, Harbin Institute of Technology, China; Artificial Intelligence Research Institute, Harbin Institute of Technology, China. Electronic address: wangboran@hit.edu.cn.
Ma L; Department of Computer Science and Technology, Harbin Institute of Technology, China.
Guan Y; Department of Computer Science and Technology, Harbin Institute of Technology, China. Electronic address: guanyi@hit.edu.cn.

Artif Intell Med ; 138: 102437, 2023 04.

Article em En | MEDLINE | ID: mdl-36990582

Assuntos

Cuidados Críticos; Unidades de Terapia Intensiva; Humanos

Palavras-chave

Cascading failure; Interpretability; Mortality prediction

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cuidados Críticos / Unidades de Terapia Intensiva Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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