Early Detection & Classification of Diabetic Nephropathy Using Machine Learning Techniques

Diabetic nephropathy is a common disease of type-1 diabetes and type-2 diabetes. It is a usual problem and main cause of death in people with diabetes. Uncontrolled diabetes can damage the blood vessels in kidneys so that filter of the waste in your blood can not be done properly. This will lead to kidney damage and high blood pressure .The high blood pressure can cause further damage to the kidneys by increasing the pressure in the delicate filtering system of the kidneys.The complications of diabetic nephropathy may develop gradually over months or years. In this work study of ensemble algorithm included Bagging, AdaBoost and Random Forest, Gradient Boosting,Bayesian Networks technique is done