计算机应用 ›› 2005, Vol. 25 ›› Issue (06): 1408-1409.DOI: 10.3724/SP.J.1087.2005.01408

• 典型应用 • 上一篇    下一篇

医学图像的关联规则挖掘方法研究

王曙燕1,2,周明全1,耿国华1   

  1. 1.西北大学计算机科学系; 2.西安邮电学院计算机系
  • 发布日期:2011-04-06 出版日期:2005-06-01
  • 基金资助:

    国家自然科学基金资助项目(60372072)

Application of association rules for medical image data mining

WANG Shu-yan1,2, ZHOU Ming-quan1, GENG Guo-hua1   

  1. 1.Department of Computer Science,Northwest University ,Xi’an Shaanxi 710069, China; 2.Department of Computer, Xi’an Institute of Post&telecoms, Xi’an Shaanxi 710061, China
  • Online:2011-04-06 Published:2005-06-01

摘要: 提出了一个基于关联规则挖掘算法的医学图像分析器。介绍了数量型属性离散化的CA算法、关联规则挖掘算法及其在医学图像数据挖掘中的应用方法,并利用介绍的算法对乳腺癌图像数据进行挖掘。实验结果表明,该模型系统达到了较高的分类准确率。

关键词: 数据挖掘, 关联规则, 分类, 医学图像

Abstract: A medical image classifier based on association rules was proposed.First, the scalar property discretized CA algorithm and association rules algorithm for medical image data mining were introduced. Then the algorithms were applied to the data mining of the mammography classification. The experimental results are shown and the experimental system achieves high accuracy. indicating the great potential of data mining in assistant medical treatment.

Key words: data mining, association rules, classification, medical images

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