出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The health sector has witnessed a great evolution following the development of new computertechnologies, and that pushed this area to produce more medical data, which gave birth tomultiple fields of research. Many efforts are done to cope with the explosion of medical data onone hand, and to obtain useful knowledge from it on the other hand. This prompted researchersto apply all the technical innovations like big data analytics, predictive analytics, machinelearning and learning algorithms in order to extract useful knowledge and help in makingdecisions. With the promises of predictive analytics in big data, and the use of machine learningalgorithms, predicting future is no longer a difficult task, especially for medicine becausepredicting diseases and anticipating the cure became possible. In this paper we will present anoverview on the evolution of big data in healthcare system, and we will apply a learningalgorithm on a set of medical data. The objective is to predict chronic kidney diseases by usingDecision Tree (C4.5) algorithm.
关键词：big data; big data analytics; machine learning; Healthcare; learning algorithm; C4.5
