Convolutional Recurrent Neural Networks for Glucose Prediction

no code implementations • 9 Jul 2018 • Kezhi Li, John Daniels, Chengyuan Liu, Pau Herrero, Pantelis Georgiou

In addition, the model provides competitive performance in providing effective prediction horizon ($PH_{eff}$) with minimal time lag both in a simulated patient dataset ($PH_{eff}$ = 29. 0$\pm$0. 7 for 30-min and $PH_{eff}$ = 49. 8$\pm$2. 9 for 60-min) and in a real patient dataset ($PH_{eff}$ = 19. 3$\pm$3. 1 for 30-min and $PH_{eff}$ = 29. 3$\pm$9. 4 for 60-min).

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