Machine learning based on biomarker profiles identifies distinct subgroups of heart failure with preserved ejection fraction

AIMS: The lack of effective therapies for patients with heart failure with preserved ejection fraction (HFpEF) is often ascribed to the heterogeneity of patients with HFpEF. We aimed to identify distinct pathophysiologic clusters of HFpEF based on circulating biomarkers. METHODS AND RESULTS: We perf...

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Detalles Bibliográficos
Autores principales: Woolley, Rebecca J., Ceelen, Daan, Ouwerkerk, Wouter, Tromp, Jasper, Figarska, Sylwia M., Anker, Stefan D., Dickstein, Kenneth, Filippatos, Gerasimos, Zannad, Faiez, Marco, Metra, Ng, Leong, Samani, Nilesh, van Veldhuisen, Dirk J, Lang, Chim, Lam, Carolyn S., Voors, Adriaan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd. 2021
Materias:
HFpEF AND MACHINE LEARNING
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360080/
https://www.ncbi.nlm.nih.gov/pubmed/33651430
http://dx.doi.org/10.1002/ejhf.2144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360080/
https://www.ncbi.nlm.nih.gov/pubmed/33651430
http://dx.doi.org/10.1002/ejhf.2144

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