Identifying novel subgroups in heart failure patients with unsupervised machine learning: A scoping review

BACKGROUND: Heart failure is currently divided into three main forms, HFrEF, HFpEF, and HFmrEF, but its etiology is diverse and highly heterogeneous. Many studies reported a variety of novel subgroups in heart failure patients, with unsupervised machine learning methods. The aim of this scoping revi...

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Detalles Bibliográficos
Autores principales: Sun, Jin, Guo, Hua, Wang, Wenjun, Wang, Xiao, Ding, Junyu, He, Kunlun, Guan, Xizhou
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/PMC9353556/
https://www.ncbi.nlm.nih.gov/pubmed/35935639
http://dx.doi.org/10.3389/fcvm.2022.895836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353556/
https://www.ncbi.nlm.nih.gov/pubmed/35935639
http://dx.doi.org/10.3389/fcvm.2022.895836

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