Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabe…

Abstract—Data-driven techniques have recently drawn significant interest in the predictive modeling of subcutaneous (s.c.) glucose concentration in type 1 diabetes. In this study, the s.c. glucose prediction is treated as a multivariate regression problem, whichisaddressedusingsupportvectorregression(SVR).Theproposed method is based on variables concerning: 1) the s.c. glucose profile; 2) th…