Early Prediction of Left Ventricular Reverse Remodeling in First-Diagnosed Idiopathic Dilated Cardiomyopathy: A Comparison of Linear Model, Random Forest, and Extreme Gradient Boosting

Early Prediction of Left Ventricular Reverse Remodeling in First-Diagnosed Idiopathic Dilated Cardiomyopathy: A Comparison of Linear Model, Random Forest, and Extreme Gradient Boosting

Introduction: Left ventricular reverse remodeling (LVRR) is associated with decreased cardiovascular mortality and improved cardiac survival and also crucial for therapeutic options. However, there is a lack of an early prediction model of LVRR in first-diagnosed dilated cardiomyopathy.Methods: This...

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Bibliographic Details
Main Authors: Xiangkun Xie, Mingwei Yang, Shan Xie, Xiaoying Wu, Yuan Jiang, Zhaoyu Liu, Huiying Zhao, Yangxin Chen, Yuling Zhang, Jingfeng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
idiopathic dilated cardiomyopathy
heart failure
reverse remodeling
predictive model
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.684004/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2021.684004/full

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