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
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DOI:
10.17148/IJARCCE.2024.13836
