DIABETES PREDICTION USING MACHINE LEARNING APPROACH

Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by a high blood sugar level (hyperglycemia) over a prolonged period of time. Symptoms often include frequent urination, increased thirst and increased appetite. If left untreated, diabetes can cause many health complications. In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are typically present in our dietary habits, which have increased the risk of diabetes. Diabetes mellitus (DM) is a metabolic disorder characterized by increased blood glucose. The pathology can manifest itself with different conditions, including neuropathy, the main consequence of diabetic disease. To predict the disease, it is extremely important to understand its symptoms. The proposed framework is introduced to overcome all the disadvantages that arise in the existing system. This system will increase the accuracy of the results by prediction of diabetes by using ANN deep learning algorithms. It enhances the performance of the overall classification results.