Linear and non-linear mathematical model of the physiological behavior of diabetes
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.spl.45Keywords:
Typical roots approach, The Direct Method of Lyapunov, Diabetes.Dimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This paper’s goals center on understanding the physiological behavior of diabetes, specifically type 2 diabetes, through mathematical modeling and in order to assess the health of diabetic patients and identify the most effective and practical blood glucose control strategies. Additionally, research on diabetes patients, both those with and without complications, is the main objective. Either a new model can be built or an existing model can be improved in order to develop a mathematical model for diabetes mellitus.Abstract
How to Cite
Downloads
Similar Articles
- Rekha R., P. Meenakshi Sundaram, Enhanced malicious node identification in WSNs with directed acyclic graphs and RC4-based encryption , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- C. S. Manikandababu, V. Rukkumani, Advanced VLSI-based digital image contrast enhancement: A novel approach with modified image pixel evaluation logic , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Abhishek K Pandey, Amrita Sahu, Ajay K Harit, Manoj Singh, Nutritional composition of the wild variety of edible vegetables consumed by the tribal community of Raipur, Chhattisgarh, India , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- M. Jayakandan, A. Chandrabose, An ensemble-based approach for sentiment analysis of covid-19 Twitter data using machine learning and deep learning techniques , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Engida Admassu, Classifying enset based on their disease tolerance using deep learning , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, Feature selection in HR analytics: A hybrid optimization approach with PSO and GSO , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- D. Jayadurga, A. Chandrabose, Distribution of virtual machines with SVM-FFDM approach in cloud computing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- C. Agilan, Lakshna Arun, Optimization-based clustering feature extraction approach for human emotion recognition , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Sreenath M.V. Reddy, D. Annapurna, Anand Narasimhamurthy, Influence node analysis based on neighborhood influence vote rank method in social network , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- V. Umadevi, S. Ranganathan, IoT based energy aware local approximated MapReduce fuzzy clustering for smart healthcare data transmission , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.