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
- Minas M. Ali, Farah H. Alenezi, Nora F. Alfayyadh, Sara Y. Alhassoun, Rahaf M. Alanzi, Waseem Radwan, Conservative esthetic dentistry in Riyadh – Saudi Arabia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Pragya Sharma, Anupriya Roy Srivastava, Cultural syncretism in Jhumpa Lahiri’s “Only Goodness” , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- N. Sasirekha, R. Anitha, Vanathi T, Umarani Balakrishnan, Automatic liver tumor segmentation from CT images using random forest algorithm , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Bhuvaneshwarri Ilango, A machine translation model for abstractive text summarization based on natural language processing , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Gurpreet S. Saund, Kulandai Samy, Eco-critical dystopia and anthropocentrism in Margaret Atwood’s Oryx and Crake , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- P. Ananthi, A. Chandrabose, Exploring learning-assisted optimization for mobile crowd sensing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Navjot Singh, Sultan Singh, Demographic perception of customers towards dairy marketing practices: An empirical study , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- A. Anand, A. Nisha Jebaseeli, AI-driven real-time performance optimization and comparison of virtual machines and containers in cloud environments , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Prabhu, P. Archana, S. Anusooya, P. Anuradha, Improved Steganography for IoT Network Node Data Security Promoting Secure Data Transmission using Generative Adversarial Networks , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 31 32 33 34 35 36 37 > >>
You may also start an advanced similarity search for this article.
