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

Background: Predicting of future blood glucose (BG) concentration is important for diabetes control. Many automatic BG monitoring or controlling systems use BG predictors. The accuracy of the prediction for long prediction time is a major factor affecting the performance of the control system.