A multicenter prospective study on postoperative pulmonary complications prediction in geriatric patients with deep neural network model.

Peng, Xiran; Zhu, Tao; Chen, Guo; Wang, Yaqiang; Hao, Xuechao

Peng, Xiran; Zhu, Tao; Chen, Guo; Wang, Yaqiang; Hao, Xuechao.

Afiliação

Peng X; Department of Anesthesiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu China.
Zhu T; The Research Units of West China (2018RU012) -Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu China.
Chen G; Department of Anesthesiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu China.
Wang Y; The Research Units of West China (2018RU012) -Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu China.
Hao X; Department of Anesthesiology, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu China.

Front Surg ; 9: 976536, 2022.

Article em En | MEDLINE | ID: mdl-36017511

Palavras-chave

deep neural network model; electronic health records; geriatric assessment (MeSH); postoperative pulmonary complications; risk assessment

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

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