文章基本信息

标题：Heart Disease Risk Prediction using Pre-processing and Classification of Patients Data
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作者：K Prasanna Jyothi ; Dr R SivaRanjani ; Dr Tusar Kanti Mishra 等
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：7
页码：13750
DOI：10.15680/IJIRCCE.2017.0507065
出版社：S&S Publications
摘要：This paper proposes the Pre-processing of heart disease patients data with Fuzzy Interfacesystem(PD_FIS), which gives processed data of patients in prediction of diseases. PD_FIS contains two parts inprocessing of data. First, generation of fuzzy membership function. Then, generation of rule base from decision treeinduction. The fuzzy membership function is generated from the medical guidelines and the generated rules will beunder consideration of medical experts. The main section in Pre-processing of health care data is pre-processing unitwhich contains generation of fuzzy membership function and rule base generation. Rules from the rule base representsthe possibility of occurrence of disease, which will be helpful in disease prediction. Finally the data will be ready toapply prediction models to know the risk factor of disease.
关键词：PD_FIS; Fuzzy membership function; Rule base