Explainable machine learning framework to predict the risk of work-related neck and shoulder musculoskeletal disorders among healthcare professionals.

Journal: Frontiers in public health
PMID:

Abstract

OBJECTIVE: This study aims to develop risk prediction models for neck and shoulder musculoskeletal disorders among healthcare professionals.

Authors

  • Na Luo
    Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Xinyi Xu
    School of Micro-Nano Electronics, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China.
  • Biling Jiang
    Health Education and Promotion Department, Nanning Center for Disease Control and Prevention, Nanning, China.
  • Zeyuan Zhang
    Orthopedics Department, Nanning Hospital of Traditional Chinese Medicine, Nanning, China.
  • Jingyu Huang
    Department of Thoracic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Xiulan Zhang
    Zhongshan Ophthalmic Center, Sun Yat-sen University, China. Electronic address: zhangxl2@mail.sysu.edu.cn.
  • Qiong Tan
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
  • Xuanyi Wang
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
  • Siyi Bai
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
  • Suyi Liu
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
  • Yishuang Pan
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.
  • Chi Tang
    Health Education and Promotion Department, Nanning Center for Disease Control and Prevention, Nanning, China.
  • Pinghua Zhu
    College of Humanities and Social Sciences, Guangxi Medical University, Nanning, China.