Comparison of Unsupervised Machine Learning Approaches for Cluster Analysis to Define Subgroups of Heart Failure with Preserved Ejection Fraction with Different Outcomes

Heart failure with preserved ejection (HFpEF) is a heterogenous condition affecting nearly half of all patients with heart failure (HF). Artificial intelligence methodologies can be useful to identify patient subclassifications with important clinical implications. We sought a comparison of differen...

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Detalles Bibliográficos
Autores principales: Nouraei, Hirmand, Nouraei, Hooman, Rabkin, Simon W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033031/
https://www.ncbi.nlm.nih.gov/pubmed/35447735
http://dx.doi.org/10.3390/bioengineering9040175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033031/
https://www.ncbi.nlm.nih.gov/pubmed/35447735
http://dx.doi.org/10.3390/bioengineering9040175

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