Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction.

Modification in RNN building extends the ability of the prediction till 100 minutes. It performs statistically significant improvements in the FIT and RMSE values for 100 minutes prediction. It also decreases root mean squared error (RMSE) for both 45 and 60 minutes of prediction.