Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning
- DOI
- 10.1038/s43856-025-01058-4
- Published
- 2025-10-14
- Container
- Communications Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s43856-025-01058-4,
title = {Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning},
author = {Savannah F. Bifulco and Matthew J. Magoon and Yaacoub Chahine and Issac Kim and Fima Macheret and Nazem Akoum and Patrick M. Boyle},
year = {2025},
journal = {Communications Medicine},
doi = {10.1038/s43856-025-01058-4},
url = {https://doi.org/10.1038/s43856-025-01058-4}
}RIS
TY - JOUR TI - Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning AU - Savannah F. Bifulco AU - Matthew J. Magoon AU - Yaacoub Chahine AU - Issac Kim AU - Fima Macheret AU - Nazem Akoum AU - Patrick M. Boyle PY - 2025 JO - Communications Medicine DO - 10.1038/s43856-025-01058-4 UR - https://doi.org/10.1038/s43856-025-01058-4 ER -
APA
Bifulco, S. F., Magoon, M. J., Chahine, Y., Kim, I., Macheret, F., Akoum, N., & Boyle, P. M. (2025). Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning. Communications Medicine. https://doi.org/10.1038/s43856-025-01058-4
Source records
- crossref · retrieved 2026-09-26T20:21:29.698Z