Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study
The research results have confirmed the potential of combining simple multidimensional features with ML algorithms for predicting CWP and provided new ideas for early diagnosis and intervention of patients with CWP.
Authors
- Dekun Zhang (ORCID: https://orcid.org/0000-0002-2742-8598)
- Yudie Dong
- Jiaqi Jia
- Songquan Wang
- Xu Shi
- Haiquan Li
- Yuming Cui
- Wenlu Hang
Institutions
- Jiangsu Normal University (CN)
- Xuzhou Medical College (CN)
- China University of Mining and Technology (CN)
- Second Affiliated Hospital of Xuzhou Medical College (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2026-01-08
- DOI
- https://doi.org/10.2196/80156
- Primary Topic
- Occupational and environmental lung diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00