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Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study.

Simon SchallmoserThomas ZügerMathias KrausMaytal Saar-TsechanskyChristoph StettlerStefan Feuerriegel
Published in: Journal of medical Internet research (2023)
Our ML models allow for an identification of individuals with prediabetes or diabetes who are at increased risk of developing micro- or macrovascular complications. The prediction performance varied across complications and target populations but was in an acceptable range for most prediction tasks.
Keyphrases
  • machine learning
  • type diabetes
  • cardiovascular disease
  • risk factors
  • glycemic control
  • working memory
  • artificial intelligence
  • big data
  • skeletal muscle
  • bioinformatics analysis