Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment

4: Parameter estimation for glucose–insulin dynamics

Abstract

Parametric estimation is a critical issue in the use of physiological models, whether for a group or individual, because it is very common for physiological models to contain parameters that cannot be measured. These models are useful to represent different disease scenarios, however, the large number of parameters can become a problem for traditional parametric estimation methods. A new approach is the use of evolutionary algorithms and particle-based algorithms that approach the parametric estimation problem as an optimization problem, generating good results. In this chapter, two physiological models are addressed to represent the type 1 diabetes mellitus disease, the parameters of ...