Bibliographic Details
| Title: |
A Fuzzy Model of Glucose Regulation. |
| Authors: |
Ward, Em1, Martin, Terry2 tmartin@uark.edu |
| Source: |
Journal of Medical Systems. Jun2006, Vol. 30 Issue 3, p187-203. 17p. 2 Diagrams, 2 Charts, 10 Graphs. |
| Subjects: |
Glucose, Fuzzy logic, Diabetes, Diagnosis of diabetes, Treatment of diabetes, Cell receptors, People with diabetes, Insulin, Hormones |
| 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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
