期刊文献+

Selecting An Appropriate Interestingness Measure to Evaluate the Correlation between Chinese Medicine Syndrome Elements and Symptoms 被引量:1

Selecting An Appropriate Interestingness Measure to Evaluate the Correlation between Chinese Medicine Syndrome Elements and Symptoms
原文传递
导出
摘要 To select the best interestingness measure appropriate for evaluating the correlation between Chinese medicine (CM) syndrome elements and symptoms, 60 objective interestingness measures were selected from different subjects. Firstly, a hypothesis for a good measure was proposed. Based on the hypothesis, an experiment was designed to evaluate the measures. The experiment was based on the clinical record database of past dynasties including 51 186 clinical cases. The selected data set in this study had 44 600 records. Cold and heat were selected as the experimental CM syndrome elements. Three indicators calculated according to the distances between two CM syndrome elements were obtained in the experiment and combined into one indicator. The Z score, φ-coefficient, and Kappa were selected from 60 measures after the experiment. The Z score and φ-coefficient were selected according to subjective interestingness. Finally, the φ-coefficient was selected as the best measure for its low The method introduced in this paper may be used in other similar territories. To select the best interestingness measure appropriate for evaluating the correlation between Chinese medicine (CM) syndrome elements and symptoms, 60 objective interestingness measures were selected from different subjects. Firstly, a hypothesis for a good measure was proposed. Based on the hypothesis, an experiment was designed to evaluate the measures. The experiment was based on the clinical record database of past dynasties including 51 186 clinical cases. The selected data set in this study had 44 600 records. Cold and heat were selected as the experimental CM syndrome elements. Three indicators calculated according to the distances between two CM syndrome elements were obtained in the experiment and combined into one indicator. The Z score, φ-coefficient, and Kappa were selected from 60 measures after the experiment. The Z score and φ-coefficient were selected according to subjective interestingness. Finally, the φ-coefficient was selected as the best measure for its low The method introduced in this paper may be used in other similar territories.
出处 《Chinese Journal of Integrative Medicine》 SCIE CAS 2012年第2期93-99,共7页 中国结合医学杂志(英文版)
基金 Supported by National Natural Science Foundation of China (No.30772695,No.81001500) 11th Five-Year National Science Support Project of China(No.2006BA108B01-05) National Science and Technology Major Projects(No.2009ZX10005-019)
关键词 interestingness measure syndrome element SYMPTOM Chinese medicine interestingness measure, syndrome element, symptom, Chinese medicine
  • 相关文献

参考文献4

二级参考文献24

  • 1张志斌,王永炎.辨证方法新体系的建立[J].北京中医药大学学报,2005,28(1):1-3. 被引量:157
  • 2王永炎,张启明,张志斌.证候要素及其靶位的提取[J].山东中医药大学学报,2006,30(1):6-7. 被引量:157
  • 3张志斌,王永炎,吕爱平,郭蕾,王耘.论证候要素与证候靶点应证组合辨证[J].中医杂志,2006,47(7):483-485. 被引量:111
  • 4张震.中医辨证规范化[J].云南中医杂志,1985,(4):2-2.
  • 5方药中.辨证论治七讲[M].北京:人民卫生出版社,1978,4..
  • 6欧阳琦.中医病证症三联诊疗[M].北京:人民卫生出版社,1998.79.
  • 7朱文锋 王永炎 等.中医临床诊疗术语-证候部分[M].北京:中国标准出版社,1997,1..
  • 8Brin S,Motwani R,Ullman J D,et al.Dynamic itemset counting and implication rules for market basket data[C]//Proceedings of the ACM SIGMOD Conf on Management of Data Tucsom, USA, 1997:207-216.
  • 9Merz C J,Murphy P.UCI repository of machine learning databases[DB/OL].http://www.cs.uci.edu/mlearn/MLRepository.html.
  • 10[1]Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases[A]. Proc of ACM SIGMOD Conf on Management of Data[C]. Washington,1993.207-216.

共引文献113

同被引文献15

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部