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Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China.
Shi, Ying; Zhang, Guangming; Ma, Chiye; Xu, Jiading; Xu, Kejia; Zhang, Wenyi; Wu, Jianren; Xu, Liling.
Afiliação
  • Shi Y; Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
  • Zhang G; Department of Anesthesiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
  • Ma C; Shanghai Institute of Computing Technology, 546 YuYuan Road, Shanghai, 200040, China.
  • Xu J; Shanghai Institute of Computing Technology, 546 YuYuan Road, Shanghai, 200040, China.
  • Xu K; Department of Anesthesiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
  • Zhang W; Department of Anesthesiology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China.
  • Wu J; Shanghai Institute of Computing Technology, 546 YuYuan Road, Shanghai, 200040, China.
  • Xu L; Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 XianXia Road, Shanghai, 200336, China. llxu@shsmu.edu.cn.
BMC Med Inform Decis Mak ; 23(1): 156, 2023 08 10.
Article em En | MEDLINE | ID: mdl-37563676
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Pacientes Internados Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Pacientes Internados Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China