Clustering for a better prediction of type 2 diabetes mellitus
Clustering for a better prediction of type 2 diabetes mellitus
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Complex phenotypic and genetic clustering of individuals who are potentially at increased risk of type 2 diabetes mellitus (T2DM) can enable the identification of individuals who are likely to develop T2DM and vascular complications. Precision medicine for prediabetes should improve prevention programmes and reduce mortality.
Alternative Titles
Full title
Clustering for a better prediction of type 2 diabetes mellitus
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_04528617v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_04528617v1
Other Identifiers
ISSN
1759-5029,1759-5037
E-ISSN
1759-5037
DOI
10.1038/s41574-021-00475-4
