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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 05(85) 2020

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Normurodov, C. B., & Mengliyev, I. A.

Numerical modeling of a differential model of sugar diabetes.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-85-116

DOI: https://dx.doi.org/10.15863/TAS.2020.05.85.116

Language: Russian

Citation: Normurodov, C. B., & Mengliyev, I. A. (2020). Numerical modeling of a differential model of sugar diabetes. ISJ Theoretical & Applied Science, 05 (85), 644-648. Soi: http://s-o-i.org/1.1/TAS-05-85-116 Doi: https://dx.doi.org/10.15863/TAS.2020.05.85.116

Pages: 644-648

Published: 30.05.2020

Abstract: A disease known as diabetes is widespread. In diabetes, certain processes in the body are disrupted, associated with sugar oxidation processes leading to energy production. If the function of the corresponding mechanism regulating the sugar content in the blood is disrupted, then it increases. The main effect on homeostasis is insulin, which is involved in the processes of sugar metabolism. For one reason or another, the action of this particular mechanism Is violated. In this article, based on a multipara meter system of ordinary differential equations describing diabetes mellitus, the biochemical process taking place in the human body is numerically modeled. For a numerical solution, the Cauchy problem for a system of differential equations uses the fourth-order Runge-Kutta method.

Key words: numerical modeling, differential model, diabetes mellitus, sugar, insulin, Cauchy problem, system of differential equations, equations of state, external thread guides, Runge-Kutta method, algorithm.


 

 

 

 

 

 

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