Chronic kidney disease prediction using stacking

Diagnosing the chronic kidney disease in early stage can have great impact on death and diseases caused due to kidney failure. Its symptoms are shown in patient at last stage or may be never till more than 95% kidney damaged, that makes its treatment much hard or impossible. Data analysis techniques can significantly help in prediction of these diseases. Many classification techniques like ANN, Bayes theorem, SVM etc showed great improvement in this field, the main purpose of this research is to evolve a hybrid technique for improving Accuracy and overall performance, so prediction of disease become fast and efficient.