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. 2006 Jun;30(3):187-203.
doi: 10.1007/s10916-005-7983-2.

A fuzzy model of glucose regulation

Em Ward  1 , Terry Martin
Affiliations

A fuzzy model of glucose regulation

Em Ward et al. J Med Syst. 2006 Jun.

Abstract

We present a detailed glucose regulation model using fuzzy inference system (FIS) descriptions of hormonal control action and the familiar Michaelis-Menten (M-M) kinetic description for glucose transport. The fuzzy M-M model is compared and contrasted with a well-known comprehensive glucose model. The two models give similar results for glucose response, endogenous glucose production, and total uptake. The fuzzy M-M model features a renal subsystem that provides 25% of the endogenous glucose production. The work demonstrates the successful application of fuzzy logic and fuzzy inference to biological modelling. The flexibility of fuzzy inference, a linguistic description technique, permits conceptually simple statements about nonlinear processes.

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