Predictive Power for Thrombus Detection after Atrial Appendage Closure: Machine Learning vs. Classical Methods

Device-related thrombus (DRT) after left atrial appendage (LAA) closure is infrequent but correlates with an increased risk of thromboembolism. Therefore, the search for DRT predictors is a topic of interest. In the literature, multivariable methods have been used achieving non-consistent results, a...

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Detalles Bibliográficos
Autores principales: Antúnez-Muiños, Pablo, Vicente-Palacios, Víctor, Pérez-Sánchez, Pablo, Sampedro-Gómez, Jesús, Sánchez-Puente, Antonio, Dorado-Díaz, Pedro Ignacio, Nombela-Franco, Luis, Salinas, Pablo, Gutiérrez-García, Hipólito, Amat-Santos, Ignacio, Peral, Vicente, Morcuende, Antonio, Asmarats, Lluis, Freixa, Xavier, Regueiro, Ander, Caneiro-Queija, Berenice, Estevez-Loureiro, Rodrigo, Rodés-Cabau, Josep, Sánchez, Pedro Luis, Cruz-González, Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503612/
https://www.ncbi.nlm.nih.gov/pubmed/36143197
http://dx.doi.org/10.3390/jpm12091413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503612/
https://www.ncbi.nlm.nih.gov/pubmed/36143197
http://dx.doi.org/10.3390/jpm12091413

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