The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery
Machine learning (ML) models can predict angina pectoris caused by the origin anomalous of the right coronary artery, providing valuable auxiliary diagnostic information for clinicians and serving as a warning to clinicians. It is hoped that timely intervention and treatment can be realized to avoid serious consequences such as myocardial infarction.
Authors
- Wenxian Peng (ORCID: https://orcid.org/0000-0001-9889-3537)
- Mingyuan Yuan (ORCID: https://orcid.org/0000-0002-6950-2864)
- Ying Wang (ORCID: https://orcid.org/0000-0002-1407-2668)
- MengXing Wang
Institutions
- Shanghai University of Sport (CN)
- Shanghai University of Medicine and Health Sciences (CN)
Publication Details
- Journal
- BioMedical Engineering OnLine
- Published
- 2024-09-12
- DOI
- https://doi.org/10.1186/s12938-024-01286-0
- Citations
- 1
- Primary Topic
- Coronary Artery Anomalies
- Type
- article
- Field-Weighted Citation Impact
- 0.42