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Reproducibility of Glycemic Measures among Dysglycemic Youth and Adults in the RISE Study.

Ashley H TjadenSharon L EdelsteinSilva ArslanianElena BarengoltsSonia CaprioMelanie Cree-GreenAmale LteifKieren J MatherMary SavoyeAnny H XiangSteven E Kahn
Published in: The Journal of clinical endocrinology and metabolism (2023)
Poor reproducibility and lack of classification concordance highlight the limitations of one-time testing, with important implications for assessing eligibility in clinical trials. Consideration should be given to using more than a single parameter for screening and diagnosis, especially when classification category is important.
Keyphrases
  • clinical trial
  • machine learning
  • deep learning
  • type diabetes
  • mental health
  • physical activity
  • young adults
  • randomized controlled trial
  • adipose tissue
  • weight loss
  • skeletal muscle