Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART‐2 study

AIMS: Current approaches to classify chronic heart failure (HF) subpopulations may be limited due to the diversity of pathophysiology and co‐morbidities in chronic HF. We aimed to elucidate the clusters of chronic patients with HF by data‐driven approaches with machine learning in a hospital‐based r...

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Detalles Bibliográficos
Autores principales: Nakano, Kenji, Nochioka, Kotaro, Yasuda, Satoshi, Tamori, Daito, Shiroto, Takashi, Sato, Yudai, Takaya, Eichi, Miyata, Satoshi, Kawakami, Eiryo, Ishikawa, Tetsuo, Ueda, Takuya, Shimokawa, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192279/
https://www.ncbi.nlm.nih.gov/pubmed/36788745
http://dx.doi.org/10.1002/ehf2.14288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192279/
https://www.ncbi.nlm.nih.gov/pubmed/36788745
http://dx.doi.org/10.1002/ehf2.14288

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