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Article

Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.

Journal of cardiovascular electrophysiology - 1 Feb 2025

Noujaim Charbel, Feng Han, Bidaoui Ghassan, Huang Chao, Younes Hadi, Assaf Ala, Mekhael Mario, Chouman Nour, Lim Chanho, Donnellan Eoin, Shamaileh Ghaith, El Hajjar Abdel Hadi, Nelson Daniel, Dhore Aneesh, Li Dan, Marrouche Nassir, Kreidieh Omar

Abstract excerpt

INTRODUCTION: Catheter ablation of persistent atrial fibrillation yields sub-optimal success rates partly due to the considerable heterogeneity within the patient population. Identifying distinct patient phenotypes based on post-ablation prognosis could improve patient selection for additional therapies and optimize treatment strategies. METHODS: We studied all patients who underwent catheter ablation of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 39716785
DOI: 10.1111/jce.16554

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