Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients.

Journal: BMC surgery
PMID:

Abstract

OBJECTIVE: The objective of this study was to develop and validate a clinically applicable nomogram for predicting the risk of delirium following hepatectomy.

Authors

  • Yu Zhu
    Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610212, Sichuan, China; Department of Bioinformatics, School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, Jiangsu, China.
  • Renrui Liang
    Department of Nursing, Central People's Hospital of Zhanjiang, Zhanjiang, Guangdong, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Jian-Jun Yang
    School of Medicine, Southeast University, Nanjing, China.
  • Ning Zhou
    Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Cheng-Mao Zhou
    Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Henan, China. zhouchengmao187@foxmail.com.