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Response: Projection of Diabetes Prevalence in Korean Adults for the Year 2030 Using Risk Factors Identified from National Data (Diabetes Metab J 2019;43:90-6).

Inkyung Baik
Published in: Diabetes & metabolism journal (2019)
Keyphrases
  • risk factors
  • type diabetes
  • cardiovascular disease
  • glycemic control
  • quality improvement
  • electronic health record
  • big data
  • adipose tissue
  • machine learning
  • magnetic resonance
  • metabolic syndrome
  • insulin resistance