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  • 标题:A Study on the accessible techniques to classify and predict the risk of Cardio Vascular Disease
  • 本地全文:下载
  • 作者:S. Sivagowry ; M. Durairaj
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:32
  • 期号:1
  • 页码:20-27
  • DOI:10.14445/22312803/IJCTT-V32P105
  • 出版社:Seventh Sense Research Group
  • 摘要:The health care environment is found to be loaded with information, but deprived in extracting knowledge from the information. This is because of the short of effectual Data Mining tool to determine concealed associations and trends in them. By applying the data mining techniques, important knowledge can be extracted from the health care system. Heart disease is a assemblage of circumstance affecting the arrangement and purpose of heart and has many root causes. Heart disease is the most important cause of fatality in the humankind over past ten years. Research has been made with many hybrid techniques for diagnosing heart disease. This paper deals with an overall appraisal of application of data mining in heart disease prediction.
  • 关键词:Data Mining; Heart Disease; Classification; Prediction; Neural Network; DecisionTree; Naïve Bayes
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