Detection of Diabetes Melittus, Kidney Disease with ML

Diabetes is a disease which is caused with the rise in glucose levels. A huge number of difficulties come up if this is not identified and treated at the right stage. The most common complications are eye damage, kidney diseases and heart problems. The treatment for these complications will be visual impairment for eye damage, chemical analysis for kidney diseases and may even end up to loss of life for heart problems. Identifying this disease is a monotonous task starts at diabetis testing center and ends up at doctor for further treatment. Issues related to kidneys are also a most common disease which affects the kidneys and weakens the body’s potential. Symptoms of CKD include nerve injury, hyperglycemia, osteoporosis, and anemia. Treatment must be started at a prior stage to maintain proper chronic uropathy levels. The cost for predication of CKD is high. The main objective of this paper is to develop a new method to detect diabetes, kidney issues with Random forest classifier. Prediction outcome of various methods state that these algorithms predict very efficiently and instantly.