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Development and validation of an interpretable Markov-embedded multilabel model for predicting risks of multiple postoperative complications among surgical inpatients: a multicenter prospective cohort study.
Yu, Xiaochu; Zhang, Luwen; He, Qing; Huang, Yuguang; Wu, Peng; Xin, Shijie; Zhang, Qiang; Zhao, Shengxiu; Sun, Hong; Lei, Guanghua; Zhang, Taiping; Jiang, Jingmei.
Affiliation
  • Yu X; Department of Nephrology.
  • Zhang L; Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College.
  • He Q; The National Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing.
  • Huang Y; Department of Anesthesiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences.
  • Wu P; Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College.
  • Xin S; Department of Vascular and Thyroid Surgery, The First Hospital of China Medical University, Shenyang, Liaoning Province, People's Republic of China.
  • Zhang Q; Department of Neurosurgery.
  • Zhao S; Department of Nursing, Qinghai Provincial People's Hospital, Xining, Qinghai Province.
  • Sun H; Department of Otolaryngology Head and Neck Surgery.
  • Lei G; Department of Orthopedics, Xiangya Hospital of Central South University, Changsha, Hunan Province.
  • Zhang T; Department of General Surgery.
  • Jiang J; Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences/School of Basic Medicine, Peking Union Medical College.
Int J Surg ; 110(1): 130-143, 2024 Jan 01.
Article de En | MEDLINE | ID: mdl-37830953

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Complications postopératoires / Patients hospitalisés Limites: Humans Langue: En Journal: Int J Surg Année: 2024 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Complications postopératoires / Patients hospitalisés Limites: Humans Langue: En Journal: Int J Surg Année: 2024 Type de document: Article