Interpretable machine learning model for cardiovascular disease risk prediction
A feature decomposition-based study
Bibliographic Data
| ID | 15380507 |
|---|---|
| Authors | Liliang Yu (Chongqing Three Gorges University, corresponding author), Jian-Cheng Wu (Chongqing Three Gorges University), Jiancheng Wu, Xin Wu (0000-0002-3839-4768, Chongqing Emergency Medical Center), Chenxi Chen (0000-0002-7094-3296, Chongqing Medical University), Yuanjun Chen (0000-0003-4465-3583, Hebei Meteorological Bureau), Fang Li (0000-0001-9180-3615, Hebei Meteorological Bureau), Li Fang (0000-0003-1462-6357), Daikun Zheng (0000-0002-6414-2548, Chongqing Three Gorges University) |
| Year | 2025 |
| Volume | 25 |
| Issue | 1 |
| Pages | 3639-3639 |
| Publication date | 2025-10-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-025-24921-4 |
| PMID | 41152787 |
| OpenAlex | W4415618186 |
| Language | EN |
| References cited | 22 |
We have developed an ML model for predicting the risk of CVDs. This model shows potential to assist clinicians in identifying high-risk patients and providing a theoretical basis for personalized preventive healthcare measures
Biostatistics · Disease · Feature (linguistics · Health care · Public health · Risk assessment · Artificial Intelligence in Healthcare · Explainable Artificial Intelligence (XAI · Machine Learning in Healthcare
| Highly cited | No |
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