The paper describes the structure and the characteristics of an expert system that allows the optimization of postprandial glycemia in type 1 diabetic patients. The expert system is able to provide patients with the number of rapid insulin units that must be taken in order to keep the blood glucose level close to the omeostatic condition in the hours following a meal.
Nobile, L., Cosenza, B., Amato, M.C., Guarnotta, V., Giordano, C., Galluzzo, A., et al. (2011). Development of a fuzzy expert system for the control of glycemia in type 1 diabetic patients. In E.N. Pistikopoulos, M.C. M.C. Georgiadis, A.C. Kokossis (a cura di), 21th European Symposium on Computer Aided Process Engineering- ESCAPE21 (pp. 1568-1572).
Development of a fuzzy expert system for the control of glycemia in type 1 diabetic patients
COSENZA, Bartolomeo;AMATO, Marco Calogero;GUARNOTTA, Valentina;GIORDANO, Carla;GALLUZZO, Aldo;GALLUZZO, Mose'
2011-01-01
Abstract
The paper describes the structure and the characteristics of an expert system that allows the optimization of postprandial glycemia in type 1 diabetic patients. The expert system is able to provide patients with the number of rapid insulin units that must be taken in order to keep the blood glucose level close to the omeostatic condition in the hours following a meal.| File | Dimensione | Formato | |
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