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Journal of Chinese Integrative Medicine ›› 2007, Vol. 5 ›› Issue (5): 502-505.doi: 10.3736/jcim20070504

Special Issue: Traditional Chinese Medicine

• Original Clinical Research • Previous Articles     Next Articles

An evaluation method for analysis of correlation between traditional Chinese medicine syndrome and seasonal changes of weather based on information entropy

Ji-jia Sun1, Jian Jiang2, Lei-lei Zhu2, Yue-qiu Gao2, Shi-bin Su1,3   

  1. 1. Department of System Science and Technology,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. Department of Traditional Chinese Internal Medicine， Shuguang Hospital,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China
    3. Research Center for Complex System of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine，Shanghai 201303,China
  • Online:2007-09-20 Published:2007-09-15

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Objective: A method based on dubious condition of information entropy was introduced and applied to discuss a complexity problem in the analysis of correlation between traditional Chinese medicine (TCM) syndrome and season.Methods: Eight hundred and seventy one cases of chronic virus hepatitis B (hepatitis B) with TCM clinical data were analyzed by information entropy method.Results: It was found that hepatitis B with Yin deficiency of liver and kidney happened more often in summer than in other seasons.Conclusion: It is inferred that the difference of seasons may influence the variation of TCM syndromes.

Key words: Shanghai 201303, China

CLC Number: 

  • R-056

Table 1

Starting matrix on correlation analysis between traditional Chinese medicine syndrome items and seasons in hepatitis B with Yin deficiency of liver and kidney"

C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 C14
S1 33.1 23.4 25.0 18.6 14.5 21.0 35.5 14.5 38.7 5.7 16.1 3.2 37.1 11.3
S2 18.9 19.4 21.9 14.8 15.3 19.4 20.4 10.7 29.6 4.6 9.2 3.6 27.0 13.3
S3 25.2 22.2 25.7 23.4 25.7 31.0 45.6 17.5 57.9 8.2 4.7 9.4 46.2 20.5
S4 29.2 22.5 20.2 11.2 19.1 34.8 34.8 5.6 48.3 1.1 5.6 23.6 50.6 10.1
S5 16.0 19.6 7.1 10.3 7.5 25.6 28.8 6.4 29.9 2.5 8.2 28.1 35.6 7.1
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