Machine learning for prediction of diabetes risk in middle-aged Swedish people
Author:
Funder
VINNOVA
Stockholms Läns Landsting
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference21 articles.
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2. IDFAtlas: global estimates of diabetes prevalence for 2017 and projections for 2045;Cho;Diabetes Res. Clin. Pract.,2018
3. Factors determining normalization of glucose tolerance in middle-aged Swedish men and women: a 8-10-year follow-up;Alvarsson;Diabet. Med.,2009
4. Work stress, sense of coherence, and risk of type 2 diabetes in a prospective study of middle-aged Swedish men and women;Eriksson;Diabetes Care,2013
5. Plasma glucose and prediction of microvascular disease and mortality. Evaluation of 1997 ADA and 1999 WHO criteria for diagnosis of diabetes;Gabir;Diabetes Care,2000
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