Development and validation of a carotid plaque risk prediction model for coal miners
It is possible to predict the presence of carotid plaque using machine learning. The model has high application value and can better predict the risk of carotid artery plaque in coal miners. Furthermore, it provides a theoretical basis for the health management of coal miners.
Authors
- Jiao Wu
- Jianzhong Hao (ORCID: https://orcid.org/0000-0002-9514-5194)
- Haiwang Gao
- Tie-Ru Zhang
- Min Luo (ORCID: https://orcid.org/0000-0001-5732-4848)
- Fan Zhang (ORCID: https://orcid.org/0000-0002-5878-4536)
- Lijian Lei
- Jianru Wang (ORCID: https://orcid.org/0000-0002-9747-0652)
- Yingbo Liu (ORCID: https://orcid.org/0000-0003-0801-6798)
- Yu Yang (ORCID: https://orcid.org/0000-0001-9173-316X)
- C.Y. Cui (ORCID: https://orcid.org/0009-0002-1332-7670)
- Yi-Chun Li
Institutions
- Shanxi Medical University (CN)
- Changzhi Medical College Peace Hospital (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-05-09
- DOI
- https://doi.org/10.3389/fcvm.2025.1490961
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00