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

Vien T TruongDaniel BeyerbachWojciech MazurMatthew WigleEmma BatemanAkhil PallerlaTam N M NgoSatya ShreenivasJustin T TretterCassady PalmerDean J KereiakesEugene S Chung

Published in: Pacing and clinical electrophysiology : PACE (2021)

Machine learning using RF methodology is significantly more powerful than traditional logistic regression in predicting PPI risk following TAVR.

Keyphrases

transcatheter aortic valve replacement
machine learning
aortic stenosis
aortic valve
artificial intelligence
big data
deep learning
ejection fraction
protein protein
left ventricular
vena cava
atrial fibrillation
small molecule
inferior vena cava