Decision tree method to extract syndrome differentiation rules of posthepatitic cirrhosis in traditional Chinese medicine

Yan Wang*, Lizhuang Ma, Xiaowei Liao, Ping Liu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Syndrome differentiation is an important topic in traditional Chinese medicine (TCM).Decision tree, one of the data mining algorithms developed, is a method to induce rules from data. In this paper, decision tree is applied to extract syndrome differentiation rules from 293 cases related to liver and kidney yin deficiency, damp-heat smoldering and Stasis and heat smoldering syndrome. Thus the decision tree classification model is obtained and some important factors are selected to three mainly syndromes of posthepatitic cirrhosis; corresponding syndrome differentiation rules are induced from the model. The classification accuracies are 79.86%, 80.5% and 82% respectively. The experiment results show that the decision method is likely a promising method to extract diagnostic rules from patient records of Chinese medicine and could be expected to be useful in the practice of traditional Chinese medicine.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Symposium on IT in Medicine and Education, ITME 2008
Pages744-748
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Symposium on IT in Medicine and Education, ITME 2008 - Xiamen, China
Duration: 12 Dec 200814 Dec 2008

Publication series

NameProceedings of 2008 IEEE International Symposium on IT in Medicine and Education, ITME 2008

Conference

Conference2008 IEEE International Symposium on IT in Medicine and Education, ITME 2008
Country/TerritoryChina
CityXiamen
Period12/12/0814/12/08

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