Data Mining for Predicting Early-Stage Chronic Kidney Disease

Kidney disorders are prevalent today and are frequently referred to as silent diseases since they are hard to diagnose because the affected person does not exhibit symptoms until the disease has progressed to a more severe stage. More than 50 million people worldwide have some form of renal disease, according to studies. Utilizing big data, machine learning, and deep learning, data mining plays a crucial role in the diagnosis and prognosis of renal illness. In light of this, the study examined the advantages of using these mining algorithms, their significant contribution to the healthcare sector through their prospective prediction skills as well as some of their limits.