Risk Prediction in Patients With Heart Failure With Preserved Ejection Fraction Using Gene Expression Data and Machine Learning

Heart failure with preserved ejection fraction (HFpEF) has become a major health issue because of its high mortality, high heterogeneity, and poor prognosis. Using genomic data to classify patients into different risk groups is a promising method to facilitate the identification of high-risk groups...

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Dettagli Bibliografici
Pubblicato in:Front Genet
Autori principali: Zhou, Liye, Guo, Zhifei, Wang, Bijue, Wu, Yongqing, Li, Zhi, Yao, Hongmei, Fang, Ruiling, Yang, Haitao, Cao, Hongyan, Cui, Yuehua
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2021
Soggetti:
Genetics
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8019773/
https://ncbi.nlm.nih.gov/pubmed/33828587
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.652315
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