ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES FOR DIABETES HEALTHCARE

Today world is extensively affected by endocrine disease Diabetes Mellitus which is commonly known as diabetes. There is a need for an effective model which can predict diabetes and its types at the early stages with accuracy. To improve the accuracy of prediction and to achieve better efficiency, a new Machine Learning based Model (MLM) is proposed. This Machine Learning Model (MLM) has ability to predict the diabetes and its categories as type 1, type 2 and Gestational diabetic with which the patient is suffering from. The proposed Machine Learning Model is innovative for diagnosis of diabetes is more accurate as compared to other existing approaches. This is a novel method from which one can combine power of an AI with the machine learning environment. Majority people with diabetes can have an eye complication called diabetic retinopathy during data collection researcher experienced the same. It is a diabetes disease or complication that affects eyes. Another aim of this study is to model CNN to predict diabetic retinopathy using deep learning techniques. These approaches have been tested with data samples. The CNN model has 80% accuracy for the dataset with diabetic retinopathy and without diabetic retinopathy.