A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques

May 2024
Vol-10, Issue-3
Paper ID: 24009
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Science And Engineering
Keywords
Model Random Forest K-Nearest Neighbors Diabetes Mellitus Machine Learning
Abstract
Diabetes, a chronic metabolic disorder, leads to sustained elevation in internal blood glucose levels due to insufficient insulin production or cells' inability to respond to it. Its prevalence and impact on health make handling confidential healthcare data crucial. While diabetes is a one of the global health concern disease type, there's a gap in real-time applications addressing it, especially in early prediction and dietary recommendations. Our project aims to bridge this gap by developing an application that predicts diabetes early on, identifies potential reversals using trending machine learning algorithms like Random Forest, KNN, or Decision Tree, and offers tailored dietary plans. This real-time medical system, developed using Microsoft tools such as Visual Studio and SQL Server, promises to be a valuable asset for hospitals and doctors.

Author Information

# Name Institute / Affiliation
1 Harshitha M Vidya Vikas Institute Of Engineering And Technology
2 Priya S K Vidya Vikas Institute Of Engineering And Technology
3 Yashaswini H S Vidya Vikas Institute Of Engineering And Technology
4 Prajwal J Vidya Vikas Institute Of Engineering And Technology
5 Bhrigu S Vidya Vikas Institute Of Engineering And Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
M, Harshitha, K, Priya S, S, Yashaswini H, J, Prajwal, & S, Bhrigu (2024). A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 2656-2663.
MLA Style
M, Harshitha, et al. "A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 2656-2663.
IEEE Style
Harshitha M, Priya S K, Yashaswini H S, Prajwal J, and Bhrigu S, "A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 2656-2663, 2024.
Vancouver Style
M Harshitha, K Priya S, S Yashaswini H, J Prajwal, S Bhrigu. A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):2656-2663.
Harvard Style
M, Harshitha, K, Priya S, S, Yashaswini H, J, Prajwal, & S, Bhrigu (2024) 'A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 2656-2663.
Chicago Style
M, Harshitha, et al. "A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2656-2663.
Turabian Style
M, Harshitha, et al. "A New Medical Decision Support System For Diabetes And Reverse Diabetes Prediction Using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 2656-2663.

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