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

OBJECTIVE: Energy 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. METHODS: T...

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Detalles Bibliográficos
Autores principales: Chen, Hao, Jiang, Rui, Huang, Wentao, Chen, Kequan, Zeng, Ruijie, Wu, Huihuan, Yang, Qi, Guo, Kehang, Li, Jingwei, Wei, Rui, Liao, Songyan, Tse, Hung-Fat, Sha, Weihong, Zhuo, Zewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593065/
https://www.ncbi.nlm.nih.gov/pubmed/36304554
http://dx.doi.org/10.3389/fcvm.2022.993142

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9593065/
https://www.ncbi.nlm.nih.gov/pubmed/36304554
http://dx.doi.org/10.3389/fcvm.2022.993142

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