A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives

• Published in: Applied soft computing Vol. 77; pp. 316 - 328
• Main Authors: De Falco, I., Cioppa, A. Della, Giugliano, A., Marcelli, A., Koutny, T., Krcma, M., Scafuri, U., Tarantino, E.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2019
• Subjects: Blood glucose estimation; Genetic programming; Interstitial glucose; Regression models; Regression models; Interstitial glucose; Genetic programming; Blood glucose estimation

This paper illustrates the development and the applicability of an Evolutionary Computation approach to enhance the treatment of Type-1 diabetic patients that necessitate insulin injections. In fact, being such a disease associated to a malfunctioning pancreas that generates an insufficient amount o...