文章基本信息

标题：Prediction of Diabetes Using Bayesian Network
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作者：Mukesh kumari ; Dr. Rajan Vohra ; Anshul Arora 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5174-5178
出版社：TechScience Publications
摘要：This paper helps in predicting diabetes by applying data mining technique. The discovery of knowledge from medical datasets is important in order to make effective medical diagnosis. The aim of data mining is to extract knowledge from information stored in dataset and generate clear and understandable description of patterns. Diabetes mellitus is a chronic disease and a major public health challenge worldwide. Using data mining methods to aid people to predict diabetes has gain major popularity. In this paper , Bayesian Network classifier was proposed to predict the persons whether diabetic or not. The dataset used is collected from a hospital, which collects the information of persons with and without diabetes. We used Weka tool for the experiment and analysis. Classification algorithm is applied on the dataset of persons collected from hospital. Results have been obtained
关键词：data mining; diabetes ;bayesian network; weka