Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using...
Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Recent studies have reported that HbA1c and lipid variability is useful for risk stratification in diabetes mellitus. The present study evaluated the predictive value of the baseline, subsequent mean of at least three measurements and variability of HbA1c and lipids for adverse outcomes.
This retrospective cohort study consists of type 1 and typ...
Alternative Titles
Full title
Glycemic and lipid variability for predicting complications and mortality in diabetes mellitus using machine learning
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b3b4a18313a24da1b8b53dec59a5c1a5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b3b4a18313a24da1b8b53dec59a5c1a5
Other Identifiers
ISSN
1472-6823
E-ISSN
1472-6823
DOI
10.1186/s12902-021-00751-4
