Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.

Zhao, Yanjie; Chen, Chaoyue; Huang, Zhouyang; Wang, Haoxiang; Tie, Xin; Yang, Jinhao; Cui, Wenyao; Xu, Jianguo

Zhao, Yanjie; Chen, Chaoyue; Huang, Zhouyang; Wang, Haoxiang; Tie, Xin; Yang, Jinhao; Cui, Wenyao; Xu, Jianguo.

Afiliação

Zhao Y; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Chen C; Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Huang Z; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Wang H; Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Tie X; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Yang J; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Cui W; Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xu J; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.

Front Neurol ; 14: 1223680, 2023.

Article em En | MEDLINE | ID: mdl-37780719

Palavras-chave

critical care; intracerebral hemorrhage; machine learning; stroke; urinary tract infection

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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