期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2016
卷号：8
期号：3
页码：1
DOI：10.5121/ijdms.2016.8301
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：With the promises of predictive analytics in 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 greatevolution following the development of new computer technologies that gave birth to multiple fields ofresearch. Many efforts are done to cope with medical data explosion on one hand, and to obtain usefulknowledge from it, predict diseases and anticipate the cure on the other hand. This prompted researchersto apply all the technical innovations like big data analytics, predictive analytics, machine learning andlearning algorithms in order to extract useful knowledge and help in making decisions. In this paper, wewill present an overview on the evolution of big data in healthcare system, and we will apply three learningalgorithms on a set of medical data. The objective of this research work is to predict kidney disease byusing multiple machine learning algorithms that are Support Vector Machine (SVM), Decision Tree (C4.5),and Bayesian Network (BN), and chose the most efficient one.
关键词：Predictive analytics; machine learning; big data analytics; Kidney failure disease; learning algorithm;C4.5; BN; SVM
