LAUSR

Abstract In this paper, a novel Global Sensitivity Analysis method is developed and is illustrated on the popular Bergman minimal model for Type 1 Diabetes (T1D). Four parameters are assumed to be uncertain in the model to mimic patient variability. An algorithm is presented to evaluate sensitivity metrics by which the uncertain parameters can be ranked. Results reveal that for a single meal scenario, insulin sensitivity is one of the most important factors after the consumption of meal that influences the blood glucose concentration in people with T1D.