Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80156, first published .
Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study

Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study

Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study

Haiquan Li   1, 2 , PhD ;   Jiaqi Jia   3 , ME ;   Xu Shi   2 , MM ;   Yudie Dong   3 , ME ;   Songquan Wang   3 , PhD ;   Yuming Cui   3 , PhD ;   Wenlu Hang   2 , PhD ;   Dekun Zhang   1 , PhD

1 School of Chemical Engineering & Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China

2 Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China

3 School of Mechatronic Engineering, Jiangsu Normal University, Xuzhou, Jiangsu, China

Corresponding Author:

  • Wenlu Hang, PhD
  • Department of Respiratory and Critical Care Medicine
  • Second Affiliated Hospital of Xuzhou Medical University
  • 32 Meijian Road
  • Xuzhou, Jiangsu
  • China
  • Phone: 86 13813477830
  • Email: wenluhangkz@163.com