期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9720
DOI：10.15680/IJIRCCE.2017.0505073
出版社：S&S Publications
摘要：Almost 19% of deaths in India in the year 2015 were attributed to Cardiovascular Diseases (CVD). Earlydetection and prediction of CVD is very important for patients’ treatment and doctors’ diagnose which can help toreduce mortality. Computational intelligence and Data mining plays an important role in the field of heart diseaseprediction. Thus, there arises a need to develop a support system for detecting heart diseases in a patient. Unexpectedacute events have resulted in much affliction as well as high treatment costs. The latter are now reaching unsustainablelevels and are becoming huge burdens even for developed countries. Early prediction and intervention would thereforebe of huge benefit to society. In this paper, we propose efficient data mining techniques toselect the best featureswiththe lowest costs and shortest times and machine learning algorithms to achieve the accuracy. This technique willhelp to reduce the work load and cost for patients as well as health care unit.
关键词：Cardiovascular disease; Computational Intelligence; Data Mining; Machine Learning algorithms.
