Using nonlinear auto-regressive with exogenous input neural network (NNARX) in blood glucose prediction
Abstract 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 read more long prediction time is a major factor affecting the performance of the control system.The predicted BG can be used for glycemi