A Novel Approach of Deep Neural Network Performance Analysis for Predicting Chronic Kidney Disease

Chronic Kidney Disease (CKD) enters slowly into the human body but lasts for a long period after getting affected by the disease. This chronic disease cannot be completely eradicated kidney disease is a deadly disease that shows its intense reactions in the ending stages. That is why CKD identification in the early stage is required to provide the necessary treatment for the prevention or cure of such a deadly disease. Early detection of chronic kidney disease helps the patients and doctors to take appropriate care and treatment measures to cut down further consequences and progress of the disease. By using machine learning techniques in the healthcare sector, the pathological data of the patient, disease can be classified and predicted. Therefore, the indispensable requirement of the best and accurate methods for recognizing chronic kidney disease is observed in the medical sector. In this chapter, various experiments are conducted and observed that Deep Neural Network (DNN) is proved to generate accurate results in CKD recognition with 99% accuracy.