Monitoring and Identification of Various Glucose Levels of Diabetes Patients Using Edge Based Machine Learning Approach

The diabetes is a disease that can become a serious disorder for a lifetime. It kills more than a million people every year. This disease can affect anyone. Diabetes occurs when the body is unable to process all the sugar (glucose) in the bloodstream; its complications can move to heart issues, caress, vision loss, and kidney stoppage and leg amputation problems. Many people with diabetes inject their body daily and feel that their work is done. Diabetes is an incurable disease because of poor health. The diabetes be able to be divided keen on2 types. The type-1 diabetes is hereditary. It is not easy to cure. People with type 2 diabetes can greatly reduce their risk of developing diabetes by following a proper, proper lifestyle. In addition it helps reduce the risk of diabetes. The proposed model of managing diabetics explains this disease as a specific lifestyle. The existence of an effective system for the treatment of diabetes, according to the tasks currently set out, provides for the achievement of goals. The proposed edge based machine learning approach was achieved 85% of results compared with the Blood glucose level prediction, Adaptive multivariable closed-loop control, neural model of blood glucose level and Detecting Undiagnosed Diabetes.