An Improved Deep Learning Approach for Prediction of The Chronic Kidney Disease

Kidney function is harmed by chronic kidney disease, leading to renal failure. Machine learning and data mining come in handy detect disease. employs a variety of algorithms make predictions classify data. CT scans have been used When are diagnose disease the kidney, cross-infection occurs, results delayed. The authors prior study developed model for categorizing illness utilizing multiple classification methods. A unique deep presented this early identification prognosis Chronic Disease (CKD). This aims build neural network evaluate its performance compared other cutting-edge machine Compared four different classifiers (K-Nearest Neighbor (KNN), Random Forest, Naive Bayes classifier, probabilistic network), suggested Deep fared better reaching higher accuracy. Nephrologists may find proposed method helpful detection CKD.