Machine learning method for predicting pacemaker implantation following transcatheter aortic valve replacement.

Background: An accurate assessment of permanent pacemaker implantation (PPI) risk following transcatheter aortic valve replacement (TAVR) is important for clinical decision making. The aims of this study were to investigate the significance and utility of pre‐ and post‐TAVR ECG data and compare mach...

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Publicado en:	Pacing & Clinical Electrophysiology Vol. 44; no. 2; pp. 334 - 341
Autores principales:	Truong, Vien T., Beyerbach, Daniel, Mazur, Wojciech, Wigle, Matthew, Bateman, Emma, Pallerla, Akhil, Ngo, Tam N.M., Shreenivas, Satya, Tretter, Justin T., Palmer, Cassady, Kereiakes, Dean J., Chung, Eugene S.
Formato:	research tables/charts Journal Article
Publicado:	Wiley-Blackwell Feb2021
Acceso en línea:	Ver este registro en EBSCOhost