Data-driven identification of heart failure disease states and progression pathways using electronic...
Data-driven identification of heart failure disease states and progression pathways using electronic health records
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Heart failure (HF) is a leading cause of morbidity, healthcare costs, and mortality. Guideline based segmentation of HF into distinct subtypes is coarse and unlikely to reflect the heterogeneity of etiologies and disease trajectories of patients. While analyses of electronic health records show promise in expanding our understanding of complex synd...
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Full title
Data-driven identification of heart failure disease states and progression pathways using electronic health records
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TN_cdi_doaj_primary_oai_doaj_org_article_954758aae06c48c69702f4d7b2d27849
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_954758aae06c48c69702f4d7b2d27849
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-22398-4
