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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Detalles Bibliográficos
Autores principales: Zhou, Liye, Guo, Zhifei, Wang, Bijue, Wu, Yongqing, Li, Zhi, Yao, Hongmei, Fang, Ruiling, Yang, Haitao, Cao, Hongyan, Cui, Yuehua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019773/
https://www.ncbi.nlm.nih.gov/pubmed/33828587
http://dx.doi.org/10.3389/fgene.2021.652315

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8019773/
https://www.ncbi.nlm.nih.gov/pubmed/33828587
http://dx.doi.org/10.3389/fgene.2021.652315

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