Predictions of Diabetes and Diet Recommendation System for Diabetic Patients using Machine Learning Techniques

Diabetes is a major metabolic disease that can seriously affect the whole human body. Nowadays, diabetes has become a common disease to mankind from young to old. The number of reported diabetic patients is escalating day by day, due to innumerable reasons toxic or chemical contents mixed with the food, obesity, working culture and bad diet plan, unusual life style, eating food habits and environmental factors. Hence, diagnosing of diabetes is essential to save the human lives. Machine Learning Techniques can be used to develop an efficient healthcare system to predict different type of diabetic diseases in advance. In this paper a Machine Learning Techniques is used for diagnosis of diabetes and recommended proper diet for diabetic Patient through Diet Recommendation System (DRS). The proper data analysis is used for the selection of proper diet for diabetic Patients.