An In-depth Review on Chronic Kidney Disease Detection Systems

Abstract: The kidneys in the human body attached to the cleaning and filtering of the blood and other body fluids and removing the toxins and other waste by-products from the body. This is an essential function as the accumulation of these impurities can hinder the functioning of other organs and lead to a toxic level of these chemicals in the body. This inefficient function of the kidneys can lead to a lot of different problems and can also cause death. Chronic kidney disease is highly difficult to predict before time and the earliest stages are very difficult to analyze retrospectively. Therefore, a number of researchers for the identification of chronic kidney diseases have been effectively analyzed in this survey paper. The methodology achieved through this analysis utilizes machine learning protocols for the purpose of chronic kidney disease identification which will be further expanded in future research.

Keywords: K-Mean Clustering, Pearson Correlation, ANN, Decision Tree