Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident d...
Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program
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Publisher
England: American Diabetes Association
Journal title
Language
English
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Publication information
Publisher
England: American Diabetes Association
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Scope and Contents
Contents
IntroductionAlthough various lipid and non-lipid analytes measured by nuclear magnetic resonance (NMR) spectroscopy have been associated with type 2 diabetes, a structured comparison of the ability of NMR-derived biomarkers and standard lipids to predict individual diabetes risk has not been undertaken in larger studies nor among individuals at hig...
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Full title
Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program
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TN_cdi_doaj_primary_oai_doaj_org_article_6e1d050c124d4a529a5724c96d670a0f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6e1d050c124d4a529a5724c96d670a0f
Other Identifiers
ISSN
2052-4897
E-ISSN
2052-4897
DOI
10.1136/bmjdrc-2020-001953
