Description

Early detection and characterization are considered to be critical factors in the management and control of chronic kidney disease. Chronic kidney disease is detected during the screening of people who are known to be in threat by kidney problems, such as those with high blood pressure or diabetes and those with a blood relative Chronic Kidney Disease (CKD) patients. So the early prediction is necessary in combating the disease and to provide good treatment. This study proposes the use of deep learning techniques for CKD such as convolutional neural network model to classify the kidney disease. The proposed model achieves better performance, comparing with the existing models, with accuracy 99.52%. So, the proposed model presents proper predictor and classifier for CKD.