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  • 标题:MINING TECHNIQUES IN HEALTH CARE: A SURVEY OF IMMUNIZATION
  • 本地全文:下载
  • 作者:Dr M.HEMALATHA ; S.MEGALA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2011
  • 卷号:25
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Data mining has been used intensively and broadly by several organizations. The applications can greatly benefit all parties involved in the healthcare industry. The healthcare background is generally supposed as being information more yet knowledge less. There is a affluence of information obtainable within the healthcare systems. However, there is a lack of useful analysis tools to realize hidden relationships and trends in data. Knowledge discovery and data mining have established frequent applications in commerce and scientific domain. Valuable facts can be exposed from application of data mining techniques in healthcare system. Likewise Immunization and vaccination have been used as an upstream, for protecting children, against such infections and infectious diseases as Polio, DPG, BCG and Measles. This critique explores data mining applications in healthcare. In this study, we briefly examine the potential use of classification based data mining techniques such as decision tree, Artificial Neural Network to massive volume of Immunization data.
  • 关键词:Descissiontree; Healthcare; Data mining; Immunization; Classification; Neural Network
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