Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

Zhi Guo Dai; Yang Yang Han

doi:10.4028/www.scientific.net/AMR.765-767.282

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Study on Application of Data Mining Technology in Syndrome Differentiation of TCM
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Study on Application of Data Mining Technology in...

Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

Abstract:

Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

282-285

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.282

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Online since:

September 2013

Authors:

Zhi Guo Dai, Yang Yang Han

Keywords:

Association Rule, Data Mining (DM), Fp-Tree Algorithm, TCM Application

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References

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