Development and validation of a model for predicting incident type 2 diabetes using quantitative cli...
Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
Obesity is closely related to the development of insulin resistance and type 2 diabetes (T2D). The prevention of T2D has become imperative to stem the rising rates of this disease. Weight loss is highly effective in preventing T2D; however, the at-risk pool is large, and a clinically meaningful metric for risk stratification to guide interventions...
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Full title
Development and validation of a model for predicting incident type 2 diabetes using quantitative clinical data and a Bayesian logistic model: A nationwide cohort and modeling study
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TN_cdi_plos_journals_2479465383
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2479465383
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ISSN
1549-1676,1549-1277
E-ISSN
1549-1676
DOI
10.1371/journal.pmed.1003232
