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Neural Networks With Gated Recurrent Units Reduce Glucose Forecasting Error due to Changes in Sensor Location.

Aaron P TuckerArthur G ErdmanPamela J SchreinerSisi MaLisa S Chow
Published in: Journal of diabetes science and technology (2022)
We observe that GRU NNs can mitigate error in glucose prediction due to differences in CGM location.
Keyphrases
  • neural network
  • blood glucose
  • metabolic syndrome