Predicting postoperative complications after pneumonectomy using machine learning: a 10-year study.

Journal: Annals of medicine
PMID:

Abstract

BACKGROUND: Reducing postoperative cardiovascular and neurological complications (PCNC) during thoracic surgery is the key to improving postoperative survival.

Authors

  • Yaxuan Wang
    Department of Computer Science, Rice University, Houston, TX, USA.
  • Shiyang Xie
    Department of Radiation Oncology, the First Hospital of China Medical University, China.
  • Jiayun Liu
    Department of Clinical Laboratory Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • He Wang
    Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, China International Neuroscience Institute, Beijing, China.
  • Jiangang Yu
    Department of Anesthesiology, the First Hospital of China Medical University, China.
  • Wenya Li
    Department of Thoracic Surgery, the First Hospital of China Medical University, China.
  • Aika Guan
    Queen' University, Kingston, Canada.
  • Shun Xu
  • Yong Cui
    Department of Dermatology, China-Japan Friendship Hospital, Beijing 100029, China.
  • Wenfei Tan
    Department of Anesthesiology, the First Hospital of China Medical University, China.