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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
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 |
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