Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features
The stroke-risk prediction model for elderly AF patients constructed based on the SVM algorithm has strong predictive efficacy.
Authors
- Yuan Yao (ORCID: https://orcid.org/0000-0003-3999-8309)
- Jie Zeng (ORCID: https://orcid.org/0000-0003-2819-8752)
- Yan Xiong (ORCID: https://orcid.org/0009-0000-1252-3085)
- Hao Huang (ORCID: https://orcid.org/0000-0002-8583-587X)
Institutions
- University of Electronic Science and Technology of China (CN)
Publication Details
- Journal
- BMC Cardiovascular Disorders
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1186/s12872-025-04870-x
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00