Application of Genetic Algorithms for Medical Diagnosis of Diabetes Mellitus
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 37, Issue 1
Abstract
The system of glucose-insulin control and associated problems in diabetes mellitus were studied by mathematical modeling. It is a helpful theoretical tool for understanding the basic concepts of numerous distinct medical and biological functions. It delves into the various risk factors contributing to the onset of diabetes, such as sedentary lifestyle, obesity, family history, viruses, and increasing age. The study emphasizes the importance of mathematical models in understanding the dynamic characteristics of biological systems. The study emphasizes the increasing prevalence of diabetes, especially in India, where urbanization and lifestyle changes contribute to the rising incidence. The present investigation describes the use of John Holland's evolutionary computing approach and the Genetic Algorithm (GA) in diabetes mellitus. The Genetic Algorithm is applied to address issues related to diabetes, offering a generic solution and utilizing MATLAB's Genetic Algorithm tool. The Mathematical Model provides differential equations representing glucose and insulin concentrations in the blood. The results represent testing outcomes for normal, prediabetic, and diabetic individuals, optimized with Genetic Algorithm showcased through fitness value plots. The conclusion highlights the effectiveness of Genetic Algorithm as an optimization tool in predicting optimal samples for diabetes diagnosis. The paper encourages the use of heuristic algorithms, such as Genetic Algorithms, to address complex challenges in the field of diabetes research. Future scope includes further exploration of biomathematics and Genetic Algorithm applications for enhanced understanding and management of diabetes mellitus. It is critical for people with diabetes to consistently check their blood glucose levels and follow their treatment plan.
Authors and Affiliations
Khushali Tyagi, Deepak Kumar, Richa Gupta
Keywords
Related Articles
- EP ID EP733345
- DOI 10.52756/ijerr.2024.v37spl.001
- Views 39
- Downloads 0
An extensive asynchronous symmetric rendezvous technique for cognitive radio networks Aditya Dubey
With the current increase in wireless technology, spectrum is becoming scarce. By equitably allocating frequency bands to unlicensed and licensed clients, the cognitive radio network (CRN) reduces issue of growing inadeq...
Estimation Features by Transformed Bernstein kind Polynomials
In our extensive study of literature, we delved into the multifarious manifestations of discrete operator transformations. These transformations are pivotal in mathematical analysis, especially concerning Lebesgue integr...
Design and Implementation of a Dual-Axis Solar Tracking System with IoT-Enhanced Monitoring Using Arduino
The position of the sun varies over the day and with the seasons, making it difficult for conventional fixed solar panel systems to achieve optimum energy production. By reorienting the panels to face the sun, solar trac...
Enhancing Sound Transmission Loss in Hybrid Mufflers with Change in Pipe Perforation and Using Absorptive Material
It is well known that baffled exhaust mufflers enhance sound transmission loss while lowering noise emissions. Sound transmission loss can be further reduced by adding sound-absorbing material inside the silencer. It has...
Real-Time Face Recognition System with Enhanced Security Features using Deep Learning
Identification of people and mask detection has long been a captivating topic, in terms of research and business. This topic has received increasing attention in recent phases due to the speedy advancement of Artificial...