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[Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
Zhu, Manchen; Hu, Chunying; He, Yinyan; Qian, Yanchun; Tang, Sujuan; Hu, Qinghe; Hao, Cuiping.
Afiliação
  • Zhu M; Three Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China.
  • Hu C; Admission Service Center, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China.
  • He Y; Two Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China. Corresponding author: Hao Cuiping, Email: hcuiping0709@163.com.
  • Qian Y; Three Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China.
  • Tang S; Two Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China. Corresponding author: Hao Cuiping, Email: hcuiping0709@163.com.
  • Hu Q; Two Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China. Corresponding author: Hao Cuiping, Email: hcuiping0709@163.com.
  • Hao C; Three Department of Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining 272030, Shangdong, China.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 35(7): 696-701, 2023 Jul.
Article em Zh | MEDLINE | ID: mdl-37545445
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sepse Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China