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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...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2020
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| Aiheet: | |
| Linkit: | 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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