Predicting the Severity of Chronic Kidney Disease with J48

Chronic kidney disease (CKD) is an intensifying and immutable condition in which the kidneys slowly reduces is actual function. CKD can be effected and induced because of various aspects like high cholesterol, blood pressure, genetic disorders, kidney inflammations and infections. This health issue is affecting millions of people across the globe. The primary objective considered is to envision disease at an early stage by implementing different algorithms on the medical records of the patients. Since early stage of diagnosis may be helpful in reducing the severity of the disease. This study has a significant concern in deciding the suitable Machine Learning (ML) algorithm that suits best for analyzing CKD based on the accuracy rate. The demonstration work is performed with the commonly utilized machine learning classifiers. As a result of the demonstration work, it is revealed that J48 algorithm has higher rate of accuracy than other conventional machine learning techniques.