System for Predicting the Diabetes using Machine Learning Techniques

Abstract

Diabetes needs to be managed constantly because it is a chronic and complicated medical illness. The importance of creating cutting-edge solutions to aid in the management of this condition is growing as diabetes prevalence rises. This study suggests using machine learning to manage healthcare costs and anticipate the onset of diabetes. To be more precise, we suggest combining supervised and unsupervised learning techniques to deliver patient-specific real-time forecasts and track the development of the disease. Using publicly accessible diabetes datasets, we will assess the performance of the suggested approach and contrast the findings with current techniques. In addition, we'll talk about how applying machine learning approaches could help with diabetes management. The goal of this paper is to present the potential of machine learning for enhancing diabetes treatment and to offer a framework for further investigation in this field.