APPLICATION TO PREDICT CHRONICAL KIDNEY DISEASE

Abstract

With the promises of predictive analytics on big data, and the use of machine learning algorithms, predicting future is no longer a difficult task, especially for health sector, that has witnessed a great evolution following the development of new computer technologies that gave birth to multiple fields of research. Many efforts are done to cope with medical data explosion on one hand, and to obtain useful knowledge from it, predict diseases and anticipate the cure on the other hand. This prompted researchers to apply all the technical innovations like big data analytics, predictive analytics, and machine learning algorithms in order to extract useful knowledge and help in making decisions. In this paper, we will present an overview on the evolution of big data in healthcare system, and we will apply few learning algorithms on a set of medical data. The objective of this research work is to predict kidney disease by using machine learning algorithms that is random forest and build an application for professionals in the medical field and doctors.This application will help patients who are likely to suffer CKD by saving enormous cost of bills produced for different treatments like dialysis and kidney transplantation. If a person knows beforehand that he is showing symptoms of CKD he can prevent it from occurring by changing his lifestyle and stay healthy.