Machine learning for the development of diagnostic models of decompensated heart failure or exacerba...
Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease
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Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Heart failure (HF) and chronic obstructive pulmonary disease (COPD) are two chronic diseases with the greatest adverse impact on the general population, and early detection of their decompensation is an important objective. However, very few diagnostic models have achieved adequate diagnostic performance. The aim of this trial was to develop diagno...
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Full title
Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease
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TN_cdi_doaj_primary_oai_doaj_org_article_02f35c2922124342b3279fa97e1081f1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02f35c2922124342b3279fa97e1081f1
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-39329-6
