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Glucose Variability Analysis in Two Large-Scale and Real-World Data Sets of Open-Source Automated Insulin Delivery Systems.

Drew CooperBernd ReinholdArsalan ShahidDana Michelle Lewis
Published in: Journal of diabetes science and technology (2023)
Both the OPEN and OpenAPS Data Commons data sets show TOR < 70, TIR, and TOR > 180 within recommended goals, adding additional evidence of real-world efficacy of OS-AID. Future research should evaluate in more detail potential data set differences and relationships between individual patterns of user behaviors and GV outcomes.
Keyphrases
  • electronic health record
  • big data
  • type diabetes
  • machine learning
  • minimally invasive
  • metabolic syndrome
  • deep learning
  • blood pressure
  • blood glucose
  • skeletal muscle