Explainable machine learning model of coronary artery disease combined with diabetes: development and validation study
Our multimodal prognostic model demonstrated robust performance in predicting all-cause mortality among patients with coronary artery disease and diabetes comorbidity. The nomogram's capacity for personalized risk estimation offers potential utility in clinical decision-making and patient stratification.
Authors
- X. H. Wang
- Y Q Zhang
- Rongfei Xie
- Biyun Wang
- Shasha Liang
- Xuhui Liu
- Shipeng Wang
Institutions
- Sun Yat-sen University (CN)
- Jilin University (CN)
- Qinghai University Affiliated Hospital (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Lanzhou University Second Hospital (CN)
- First Hospital of Jilin University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fcvm.2025.1674287
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00