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Journal of Obesity and Metabolism
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  • Short Communication   
  • J Obes Metab 2023, Vol 6(3): 161
  • DOI: 10.4172/jomb.1000161

The Multi-Agent Design of a Diabetes Simulation System

Sang Prachai*
Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima 30000, Thailand
*Corresponding Author : Sang Prachai, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima 30000, Thailand, Email: p.prachai@sang.com

Received Date: Jun 03, 2023 / Published Date: Jun 28, 2023

Abstract

This study aimed to 1) design a diabetes simulation model, 2) investigate the lifestyle choices made by diabetic patients, and 3) create diabetes simulation software. There were three steps in the applied research methodology: to concentrate on way of life of the people who experience the ill effects of diabetes by utilizing a survey affirming the gamble of diabetics in a metabolic gathering of a populace of 13,334 individuals, to plan a condition to foresee the gamble by utilizing a case-control concentrate on method, and to foster a conduct reproduction program by utilizing multi-specialist. According to the findings of a survey of a population from the Mueang Nakhon Ratchasima District in Nakhon Ratchasima Province, there are three types of diabetes-related causes: absence of activity, stoutness, and improper utilization conduct. Lack of exercise is the most common cause of diabetes, according to statistics, and it accounted for 51% of the survey population. The likelihood of patients having diabetics is 0.61 of the unsafe populace and the likelihood of against illness is 0.64. A NetLogo Software-based computer program designed to simulate diabetes situations made use of the probability. The program is able to adjust various agents, such as the population, the probability of being patient, the probability of being anti-disease, and the ideal time to control the disease’s spread.

Citation: Prachai S (2023) The Multi-Agent Design of a Diabetes SimulationSystem. J Obes Metab 6: 161. Doi: 10.4172/jomb.1000161

Copyright: © 2023 Prachai S. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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