Predicting long‐term freedom from atrial fibrillation after catheter ablation by a machine learning algorithm: Validation of the CAAP‐AF score

BACKGROUND: Preprocedural clinical predictors of the successful maintenance of sinus rhythm may contribute to optimal treatment strategies for atrial fibrillation (AF). The CAAP‐AF score, a novel simple tool scored as 0‐13 points (including six independent variables) has been proposed to predict lon...

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Detalles Bibliográficos
Autores principales: Furui, Koichi, Morishima, Itsuro, Morita, Yasuhiro, Kanzaki, Yasunori, Takagi, Kensuke, Yoshida, Ruka, Nagai, Hiroaki, Watanabe, Naoki, Yoshioka, Naoki, Yamauchi, Ryota, Tsuboi, Hideyuki, Murohara, Toyoaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132192/
https://www.ncbi.nlm.nih.gov/pubmed/32256878
http://dx.doi.org/10.1002/joa3.12303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7132192/
https://www.ncbi.nlm.nih.gov/pubmed/32256878
http://dx.doi.org/10.1002/joa3.12303

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