期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：MULTICON
页码：255
出版社：S&S Publications
摘要：Data mining is the process of discovering interesting patterns and knowledge from large amounts ofdata. Preventive Health care knowledge is essential for clinical and administrative decision making. Chronic diseasesare the important cause of death in the world. Some most common chronic diseases are cancer, diabetes cardiovasculardisease and chronic respiratory disease. In this paper proposed to discover the association between chronic diseases.Association rule mining greatly helps to identify trends and patterns from huge databases. This paper analyses thevarious results generated by implementing the Apriori algorithm of Association technique. The focus of this paper is toprovide precise information about chronic diseases for public.
关键词：Chronic diseases; Apriori algorithm; Association technique; Data mining.
