Parameter identification of a model describing the blood glucose metabolism using clinical data

Abstract

Models of the blood glucose metabolism in critically ill allow an enhanced understanding of the underlying pathology. Especially for the development of assisted insulin therapy the knowledge of the glucose dynamic is relevant. In modeling of blood glucose dynamic, identification of model parameters is a crucial step, also regarding personalized health care. Therefore, we present a workflow of parameter identification to obtain patient-specific model parameter and estimation of insulin sensitivity.