📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 8, AUGUST 2024

MEDICAL BASED DECISION SUPPORT SYSTEM FOR DIABETES AND REVERS DIABETES USING ML ALGORITHM

ARCHANA N, Prof. H L SHILPA

DOI: 10.17148/IJARCCE.2024.13836

Abstract: Diabetes is a chronic metabolic disorder characterized by persistently high blood glucose levels, either due to inadequate insulin production or the body's impaired response to insulin. Managing confidential healthcare data is crucial due to the widespread prevalence and significant health impacts of diabetes. Despite its global significance, there is a lack of real-time applications for early prediction and dietary guidance for diabetes this application seeks to address this issue by creating an application that provides early diabetes predictions and identifies potential reversals through advanced machine learning technique KNN offers tailored dietary plans. This real-time medical system, developed using Microsoft tools like Visual Studio and SQL Server offer significant advantages for hospitals, providing valuable support for their operations. doctors. This system achieves 92.2%accurate result in prediction of diabetes and reverse diabetes using KNN Algorithm. Keyword: KNN, Diabetes Chronic, Machine Learning

How to Cite:

[1] ARCHANA N, Prof. H L SHILPA, “MEDICAL BASED DECISION SUPPORT SYSTEM FOR DIABETES AND REVERS DIABETES USING ML ALGORITHM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13836