Construction of a risk prediction model for postoperative atrial fibrillation in lung cancer patients based on multi-dimensional feature fusion and ensemble learning
This study is the first to integrate cardiopulmonary function, biomarkers, and surgical parameters into an ensemble model (srg-LCPOAF), providing evidence-based support for early intervention in high-risk POAF patients.
Authors
- Xiaobing Liu (ORCID: https://orcid.org/0000-0003-1142-5816)
- Jing Shi
- Ziwei Gong
- Slamuguli Hella
Institutions
- Xinjiang Medical University (CN)
- Fifth Affiliated Hospital of Xinjiang Medical University (CN)
- Tumor Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3389/fcvm.2025.1679973
- Citations
- 1
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.39