A Real-Time Computer-Aided Diagnosis System for Coronary Heart Disease Prediction Using Clinical Information
This high precision and efficiency achieved by the proposed model on different datasets would be significant for the prediction of CHD for medical and clinical diagnosis purposes.
Authors
- Yuzhu Dai (ORCID: https://orcid.org/0000-0001-6963-8676)
- Ruifei Xie
- Huiqian Tao
- Yingqiang Zhang (ORCID: https://orcid.org/0000-0003-0945-7405)
- Yane Li (ORCID: https://orcid.org/0000-0003-0065-7750)
- Hui Li (ORCID: https://orcid.org/0000-0002-4114-8349)
- Chengfeng Wang (ORCID: https://orcid.org/0000-0002-2640-9141)
- Xinyi Yu (ORCID: https://orcid.org/0000-0002-5268-7401)
- Qingyang Sun
- Tingting Shen (ORCID: https://orcid.org/0000-0002-8446-9978)
- Hongxia Qi
Institutions
- Zhejiang A & F University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- 117th Hospital of People's Liberation Army (CN)
- Hangzhou Cancer Hospital (CN)
Publication Details
- Journal
- Reviews in Cardiovascular Medicine
- Published
- 2025-03-17
- DOI
- https://doi.org/10.31083/rcm26204
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00