Outcome Analysis in Elective Electrical Cardioversion of Atrial Fibrillation Patients: Development and Validation of a Machine Learning Prognostic Model

Background: The integrated approach to electrical cardioversion (EC) in atrial fibrillation (AF) is complex; candidates can resolve spontaneously while waiting for EC, and post-cardioversion recurrence is high. Thus, it is especially interesting to avoid the programming of EC in patients who would r...

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Detalles Bibliográficos
Autores principales: Nuñez-Garcia, Jean C., Sánchez-Puente, Antonio, Sampedro-Gómez, Jesús, Vicente-Palacios, Victor, Jiménez-Navarro, Manuel, Oterino-Manzanas, Armando, Jiménez-Candil, Javier, Dorado-Diaz, P. Ignacio, Sánchez, Pedro L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101912/
https://www.ncbi.nlm.nih.gov/pubmed/35566761
http://dx.doi.org/10.3390/jcm11092636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9101912/
https://www.ncbi.nlm.nih.gov/pubmed/35566761
http://dx.doi.org/10.3390/jcm11092636

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