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

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 optim...

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Veröffentlicht in:	Journal of cardiovascular electrophysiology 2024-12
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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