Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan.

Chan, Ming-Cheng; Pai, Kai-Chih; Su, Shao-An; Wang, Min-Shian; Wu, Chieh-Liang; Chao, Wen-Cheng

Chan, Ming-Cheng; Pai, Kai-Chih; Su, Shao-An; Wang, Min-Shian; Wu, Chieh-Liang; Chao, Wen-Cheng.

Afiliação

Chan MC; Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
Pai KC; College of Science, Tunghai University, Taichung, Taiwan.
Su SA; College of Engineering, Tunghai University, Taichung, Taiwan.
Wang MS; Artificial Intelligence Center, Tunghai University, Taichung, Taiwan.
Wu CL; Artificial Intelligence Studio, Taichung Veterans General Hospital, Taichung, Taiwan.
Chao WC; Artificial Intelligence Studio, Taichung Veterans General Hospital, Taichung, Taiwan. cljeff.wu@gmail.com.

BMC Med Inform Decis Mak ; 22(1): 75, 2022 03 25.

Article em En | MEDLINE | ID: mdl-35337303

Assuntos

Estado Terminal; Respiração Artificial; Humanos; Aprendizado de Máquina; Estudos Retrospectivos; Taiwan/epidemiologia

Palavras-chave

Critical illness; Interpretability; Machine learning; Mechanical ventilation; Mortality prediction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Respiração Artificial / Estado Terminal Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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