Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.

Journal: Chinese medical journal
Published Date:

Abstract

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery.

Authors

  • Ming Xu
    Shenyang Analytical Application Center, Shimadzu (China) Co. Ltd., Shenyang, 167 Qingnian Street, Shenyang, 110016, PR China.
  • Wenhao Zhu
    School of Computer Engineering and Science, Shanghai University, Shanghai, China.
  • Siyu Hou
    MOE Key Laboratory of Bioinformatics, TCM-X Centre/Bioinformatics Division, BNRIST, Tsinghua University, Beijing 10084, China.
  • Hongzhi Xu
    Department of Gastroenterology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China; Department of Digestive Diseases, School of Medicine, Xiamen University, Xiamen, China.
  • Jingwen Xia
    College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, China.
  • Liyu Lin
  • Hao Fu
    Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
  • Mingyu You
  • Jiafeng Wang
    Department of Anesthesiology and Intensive Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, China.
  • Zhi Xie
    State Key Lab of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 500040, China. Electronic address: xiezh8@sysu.edu.cn.
  • Xiaohong Wen
    Department of Anesthesiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310003, China.
  • Yingwei Wang
    Gastroenterology Department, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, China.