Abstract
Objective: To study on the classification and diagnostic of syndromes in Chinese medicine (TCM) based on the coronary heart disease model (CHD, myocardial ischemia) by application of clustering analysis in mathematical statistics methods. Methods: By application of combining disease with syndrome model, dynamically observed and recorded pathologic signs of animal models, a total of 172 frequencies of the signs were collected, and the variables indicators were analyzed by cluster analysis. Results: The results show that CHD model can be divided into four syndromes by cluster analysis. The four categories can cover the ratio of 71.05% models; it gets a diagnostic accuracy rate of 92.11%, which can be used as key points to diagnose various syndromes in CHD. Conclusion: Cluster analysis can help to classify the TCM syndromes reasonably and objectively. What more, it also can discover the pattern of the syndrome evolution, Thus to provide a theoretical basis for the standardization of TCM research.
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References
Junlian, L., Jian-Nan, S.: The essence of traditional Chinese medicine blood stasis Research. Liaoning Journal of Traditional Chinese Medicine 33(9), 1061–1063 (2006)
Xu, W.Y., Wang, W., Guo, S.Z., Liu, T., Liu, L., Yu, Y.X.: Duplication of an animal model of myocardial ischemia with blood stasis syndrome in mini-swines. Journal of Chinese integrative medicine 6(4), 409–413 (2008)
Integrated Traditional and Western Medicine in China in the study of professional committees huoxuehuayu. Diagnostic criteria of blood-stasis syndrome. Journal of Chinese Integrative Medicine 7, Cover 2 (1987)
Ziyin, S.: Reference standerd of traditional chinese medicine deficiency-syndrome. Journal of Chinese Integrative Medicine 6, 598 (1986)
Efron, B., Hastie, T., Johnstone, I., Tibshirani, R.: Least angle regression. Annals of Statistics 32(2), 407–499 (2004)
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Wang, Y. et al. (2010). Classification and Diagnosis of Syndromes in Chinese Medicine in the Context of Coronary Heart Disease Model Based on Data Mining Methods. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_25
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DOI: https://doi.org/10.1007/978-3-642-15615-1_25
Publisher Name: Springer, Berlin, Heidelberg
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