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  • 标题:An Efficient Method for Predicting Heart Disease Problem Using Fitness Value
  • 本地全文:下载
  • 作者:Prachi Paliwal ; Mahesh Malviya
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:2
  • 页码:1290-1293
  • 出版社:TechScience Publications
  • 摘要:In the field of Medical Science there are huge amount of data. Data mining techniques are be used to discover hidden pattern form these data. Advance data mining techniques have been developed now days. The efficiency of these techniques are compared through sensitivity, specificity, accuracy and error rate. Some well known Data mining classification techniques, Decision Tree, Artificial neural networks, and Support Vector Machine and Naïve Bayes Classifier. In this paper we introduce a new method based on the fitness value of the attribute to predict the heart disease problem. We use 10 attribute for our proposed method and use simple calculation.
  • 关键词:fitness value; heart disease; attribute; data mining;classifier.
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