Machine Learning for Identification of Immedicable Renal Disease

Chronic Renal Disease (CRD) is a condition that causes a progressive decrease in renal function. It refers to a clinical entity that causes Renal dysfunction. Improper disease diagnosis and treatment can result in irreversible renal disease with very short chances of survival. Artificial Intelligence (AI) technologies equips healthcare providers with a rich set of algorithms to predict the chronic development of diseases. Prior information helps to enable proactive corrective measures. This research study intends to develop an effective tool for predicting the CRD using machine learning approaches. A machine learning model is proposed and presented to address the non-uniform distribution of instances through class balancing, feature ranking and analysis, and classifier training.