Risk Prediction of Chronic Kidney Diseases (CKD) Using Data Mining Approach

Abstract

A consecutive rise in a particular amount of patients with Chronic Kidney Disease Final Stage. In that case where kidney replacement and medical treatment are demands, which means the kidney should be transplant or dialysis. So that requires the risk factors prediction of chronic kidney disease (CKD), If the patients know about the risk factors they will aware of the risks of CKD and get early medical treatment. In our country, the rate of chronic kidney diseases is increasing day by day. The present situation in Bangladesh mostly people in rural areas is not aware of Chronic Kidney Disease. For lack of vast knowledge and less awareness about CKD, they suffer from the disease. Sometimes it takes too long for the detection of the disease. As a result, they got enormous damages to their kidney. When the functionality of a kidney decreases exceedingly then it is considered as a stage of four or five which is not a good sign for a CKD patient. If a patient is in stage five conditions, the patient needs to transplantation of the kidney that is not so convenient. So, if that patient can identify the diseases in the early stage, the damage could have reduced by medicine and medical treatment. In this project, we have predicted the risk factors of chronic kidney diseases. Thus, in most cases, the risk of CKD can be used to be reduced in an early stage