A Fuzzy Model of Glucose Regulation
| Autor: | Terry W. Martin, Em Ward |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Flexibility (engineering)
Adaptive neuro fuzzy inference system business.industry Computer science Fuzzy model Glucose transporter Medicine (miscellaneous) Biological Transport Health Informatics Models Biological Fuzzy logic Nonlinear system Glucose Fuzzy Logic Health Information Management Fuzzy inference system Humans Blood sugar regulation Artificial intelligence business Information Systems |
| Zdroj: | Journal of Medical Systems. 30:187-203 |
| ISSN: | 1573-689X 0148-5598 |
| DOI: | 10.1007/s10916-005-7983-2 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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