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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
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 |
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