This paper proposes the utilisation of fuzzy logic so as to design a system which models the biological regulator of blood glucose. That system consists of several fuzzy relations, each one of them modeling a component of the biological glycemia regulator, that is, pancreatic insulin production, net hepatic glucose balance, insulin dependent and independent glucose uptake, and kidney function. A set of experiments has been carried out by means of a simulation of the proposed model, checking that fuzzy control provides good results for the studied cases. The system could be a basis for developing artificial glycemia control mechanisms to be applied as a therapy for different pathologies, as well as for the development of simulators and monitors to aid diagnosis.
CITATION STYLE
Romero, J. L. S., Pastor, F. J. F., Payá, A. S., & Chamizo, J. M. G. (2004). Fuzzy logic-based modeling of the biological regulator of blood glucose. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3066, pp. 835–840). Springer Verlag. https://doi.org/10.1007/978-3-540-25929-9_106
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