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Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data
As a leading cause of death and morbidity, heart failure (HF) is responsible for a large portion of healthcare and disability costs worldwide. Current approaches to define specific HF subpopulations may fail to account for the diversity of etiologies, comorbidities, and factors driving disease progr...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7721729/ https://ncbi.nlm.nih.gov/pubmed/33288774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-77286-6 |
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