Development and Validation of an Explainable Prediction Model to Assess the Risk of Coronary Artery Disease in Young and Middle-Aged Individuals
This study has the potential to facilitate the improved screening of patients with coronary artery disease; we have developed a risk assessment system that is freely accessible to the public: https://prediction-of-coronary-heart-disease-htn-young-adults.streamlit.app/.
Authors
- Yingshuai Wang (ORCID: https://orcid.org/0000-0001-5457-3240)
- Chongyang Zhang (ORCID: https://orcid.org/0000-0002-7833-5172)
- Shanshan Zhao (ORCID: https://orcid.org/0009-0009-7305-1697)
- Yanli Wan (ORCID: https://orcid.org/0009-0000-4836-352X)
- Haolin Shi
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2025-09-23
- DOI
- https://doi.org/10.31083/rcm39006
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chinese Academy of Medical Sciences
- National Office for Philosophy and Social Sciences