Chronic Kidney Disease (CKD) or chronic renal disease has become a major issue with a
steady growth rate. A person can only survive without kidneys for an average time of 18
days, which makes a huge demand for a kidney transplant and Dialysis. It is important to
have effective methods for early prediction of CKD. Machine learning methods are effective
in CKD prediction. This work proposes a workflow to predict CKD status based on clinical
data, incorporating data prepossessing, a missing value handling method with collaborative …

The occurrence of Chronic Renal Disease (CRD), is also referred to as Chronic Kidney
Disease (CKD). It depicts a medical condition that harms the kidneys and has an impact on a
person's overall health. End-stage renal disease and the patient's eventual mortality can
result from improper disease diagnosis and treatment. In the field of medical science,
Machine Learning (ML) techniques have become a valuable tool and play a significant role
in disease prediction. The development and validation of a predictive model for the …