Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm

Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm

ObjectiveEnergy metabolism plays a crucial role in the improvement of heart dysfunction as well as the development of heart failure (HF). The current study is designed to identify energy metabolism-related diagnostic biomarkers for predicting the risk of HF due to myocardial infarction.MethodsTransc...

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Bibliographic Details
Main Authors: Hao Chen, Rui Jiang, Wentao Huang, Kequan Chen, Ruijie Zeng, Huihuan Wu, Qi Yang, Kehang Guo, Jingwei Li, Rui Wei, Songyan Liao, Hung-Fat Tse, Weihong Sha, Zewei Zhuo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
heart failure
energy metabolism
random forest
nomogram
biomarker
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.993142/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.993142/full

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