Abstract

Chronic Kidney Disease (CKD) has become a global health challenge, it is a situation where kidneys are damaged and toxic can no longer be filtered. The application of data mining approaches enables researchers to predict or diagnose CKD. In healthcare, the data mining technique has gained so much attention for obtaining accurate results in medical diagnosis. The technique of data mining involves the dispensation of an inter-mixture approach to know the decision-making knowledge in the database in a method that can be used in forecasting, prognosis and diagnosis. The knowledge of data mining allows the medical personnel to conduct treatment at an early stage and also enables patients to know the present state of their health condition at an earlier stage and follow necessary diet and prescriptions towards the treatment management of CKD. This paper carried out a literature review on the application techniques of data mining for the diagnosis of CKD and also future research directions were briefly mentioned.