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
• ISSN: 1568-4946; 1872-9681
• DOI: 10.1016/j.asoc.2019.01.020

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 of insulin, a way to enhance the quality of life of these patients is to implement an artificial pancreas able to artificially regulate the insulin dosage. This work aims at extrapolating a regression model, capable of estimating the blood glucose (BG) through interstitial glucose (IG) measurements and their numerical first derivatives. Such an approach represents a viable preliminary stage in building the basic component of this artificial pancreas. In particular, considered the high complexity of the reciprocal interactions, an evolutionary-based strategy is outlined to extrapolate a mathematical relationship between BG and IG and its derivative. The investigation is carried out about the accuracy of personalized models and of a global relationship model for all of the subjects under examination. The discovered models are assessed through a comparison with other models during the experiments on personalized and global data. [Display omitted] •A regression method for estimating blood glucose from interstitial one is presented.•The approach is a early stage in building the basic component of artificial pancreas.•The investigation concerns both personalized models and global ones.•The discovered models are assessed through a comparison with other well-know models.