Development and validation of a machine learning model for on-site prediction of coronary heart disease in high-risk adults using clinical data
The machine learning models presented in this study have the potential to become auxiliary on-site diagnostics tool of CHD because of its capability for accurate prediction and easy availability of all the required prediction variables.
Authors
- Chengxuan Li
- Liwen Mo (ORCID: https://orcid.org/0009-0009-0883-1814)
- Decheng Lü
- Hua Lin (ORCID: https://orcid.org/0000-0002-7390-4559)
- Lifei Yu (ORCID: https://orcid.org/0009-0005-8736-1726)
Institutions
- Guangxi Medical University (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1371/journal.pone.0334881
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00