Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.

Journal: BMC anesthesiology
Published Date: Apr 23, 2022

Abstract

BACKGROUND: This study aims to develop a machine learning-based application in a real-world medical domain to assist anesthesiologists in assessing the risk of complications in patients after a hip surgery.

Authors

  • Yu-Yu Li
    Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
  • Jhi-Joung Wang
    Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan.
  • Sheng-Han Huang
    Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
  • Chi-Lin Kuo
    Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
  • Jen-Yin Chen
    Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
  • Chung-Feng Liu
    Department of Medical Research, Chi Mei Medical Center, 901 Zhonghua Road, Yongkang District, Tainan City, 710, Taiwan.
  • Chin-Chen Chu
    Department of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan. chinchen.chu@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals