Predicting atrial fibrillation in patients with acute respiratory failure using machine learning: application of the MIMIC-III and MIMIC-IV datasets
Both the XGBoost and RF models demonstrated outstanding performance. These findings will make significant contributions to the diagnosis of clinical complications and the resolution of public health issues.
Authors
- Rui Li (ORCID: https://orcid.org/0000-0001-8353-6772)
Institutions
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-10-09
- DOI
- https://doi.org/10.3389/fcvm.2025.1696609
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00