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Abstract
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Article Information:
An Unprecedented Automated Fuzzy Model for Diabetes Mellitus
Mohammad Hassan Khooban and Davood Nazari Maryam Abadi
Corresponding Author: Mohammad Hassan Khooban
Submitted: March 05, 2012
Accepted: March 24, 2012
Published: July 01, 2012 |
Abstract:
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Finding an expert fuzzy model for glucose-insulin system seems to be essential because this model
is always changeable according to parameters such as body weight, individual age, time and numbers of meals,
physical activities and etc. In this study we try to obtain a fuzzy model for diabetes mellitus. At first a certain
diet is introduced and the amount of carbohydrate in each meal is calculated, then by introduced diet the amount
of blood glucose and insulin as outputs of diabetes mellitus system are determined. Although there are some
models about glucose-insulin system but in this study we use automated method, recursive least squares, in
order to find a fuzzy relation between inputs and outputs of system for producing a fuzzy model of glucoseinsulin
system. At last the performance of obtained model with regard to the same inputs is compared with
responses of 21st order metabolic model of Sorensen.
Key words: Automated methods, fuzzy model, Recursive Least Squares Algorihtm (RLSA), , , ,
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Cite this Reference:
Mohammad Hassan Khooban and Davood Nazari Maryam Abadi, . An Unprecedented Automated Fuzzy Model for Diabetes Mellitus. Research Journal of Applied Sciences, Engineering and Technology, (13): 1973-1977.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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