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  • 标题:Risk Assessment for Diabetes Mellitus using Association Rule Mining
  • 本地全文:下载
  • 作者:X.Rexeena ; B.Suganya Devi ; S.Saranya
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:2
  • 页码:324-328
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Diabetes is part of the growing epidemic of non communicable diseases, with a high burden for the society on developing countries in future.For suppressing the development of diabetes mellitus and the onset of complications to manage their healthcare or personal data. We aim to apply association rule mining to electronic medical records to discover sets of risk factors. The four methods summaries the high risk of diabetes. Our extension to the bottom up summarization algorithm produced the most suitable summary.
  • 关键词:Data mining; Association rule ; mining; Distribution association ; rule;Fuzzy clustering means
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