Login / Signup

Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example.

Clara M Mosquera-LopezPeter G Jacobs
Published in: Journal of diabetes science and technology (2021)
The LSTM model was accurate on a large real-world free-living dataset. Glucose variability should be considered when assessing prediction accuracy using indices such as GVII and GPCI.
Keyphrases
  • blood glucose
  • neural network
  • high resolution
  • type diabetes
  • skeletal muscle
  • weight loss
  • glycemic control