Using ensemble of ensemble machine learning methods to predict outcomes of cardiac resynchronization.

Introduction: The efficacy of cardiac resynchronization therapy (CRT) has been widely studied in the medical literature; however, about 30% of candidates fail to respond to this treatment strategy. Smart computational approaches based on clinical data can help expose hidden patterns useful for ident...

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Bibliographic Details

Published in:	Journal of Cardiovascular Electrophysiology Vol. 32; no. 9; pp. 2504 - 2515
Main Authors:	Cai, Cheng, Tafti, Ahmad P., Ngufor, Che, Zhang, Pei, Xiao, Peilin, Dai, Mingyan, Liu, Hongfang, Noseworthy, Peter, Chen, Minglong, Friedman, Paul A., Cha, Yong‐Mei
Format:	pictorial research tables/charts Journal Article
Published:	Wiley-Blackwell Sep2021
Online Access:	View this record in EBSCOhost