Predictive Models for Type 1 Diabetes. A Case Study
Linear models were identified from glucose-insulin data of a type 1 diabetic patient. The models were used for simulation and prediction with 10, 30, 60, 90 and 120 min prediction horizon. The predictions were able to track the measured blood glucose, at least for the lower prediction horizons, so that hypo-and hyperglycemic events can be prognosed. The best predictions were achieved with ARX and