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Using Formal Concept Analysis to Visualize Relationships of Syndromes in Traditional Chinese Medicine

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Medical Biometrics (ICMB 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6165))

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Abstract

Computer-aided syndrome differentiation is one of most active issues in how to digitize the Traditional Chinese Medicine. The main purpose of this paper is to show the use of Formal Concept Analysis (FCA) to visualize the dependencies of syndromes of Traditional Chinese Medicine (TCM) with Heart-Spleen syndrome serving as an example. First, the syndromes and syndrome factors are defined as the objects and attributes, then their concepts and the hierarchical relationships are described in mathematical language, finally their hierarchy is visualized by concept lattice. This approach may make syndrome’s knowledge clearer, and may make data mining of TCM more efficient.

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References

  1. Suryani, L., Yulan, H., Huic, S.C.: Computational methods for Traditional Chinese Medicine: A survey. Computer Methods and Programs in Biomedicine 88, 283–294 (2007)

    Article  Google Scholar 

  2. Wang, X., Qu, H., Liu, P., Cheng, Y.: A self-learning expert system for diagnosis in traditional Chinese medicine. Expert Systems with Applications 26, 557–566 (2004)

    Article  Google Scholar 

  3. He, X., Huang, W., Lu, M., Xue, W., Lu, Y.: Research and application of data mining in individual diagnosis and treatment based on Chinese traditional medicine. In: 2006 IEEE Int. Conf. Granular Computing, pp. 417–419 (2006)

    Google Scholar 

  4. Wang, M., Geng, Z., Wang, M., Chen, F., Ding, W., Liu, M.: Combination of Network Construction and Cluster Analysis and Its Application to Traditional Chinese Medicine. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 777–785. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Yang, X., Liang, Z., Zhang, G., Luo, Y., Yin, J.: A classification algorithm for TCM syndromes based on P-SVM. In: Proc. 2005 Int. Conf. Mach. Learn. Cybern., pp. 3692–3697 (2005)

    Google Scholar 

  6. Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  7. Carpineto, C., Romano, G.: Concept Data Analysis: Theory and Application. John Wiley & Sons Ltd., Chichester (2004)

    Book  Google Scholar 

  8. Daey, B.A., Priestley, H.A.: Introduction to Lattices and Order. Cambridge University, Cambridge (2006)

    Google Scholar 

  9. Zhu, W.F., Yan, J.F., Huang, B.Q.: Application of Bayesian network in syndrome differentiation system of traditional Chinese medicine. Journal of Chinese Integrative Medicine 4, 567–571 (2006)

    Article  Google Scholar 

  10. Anamika, G., Naveen, K., Vasudha, B.: Analysis of Medical Data using Data Mining and Formal Concept Analysis. In: The Fourth World Enformatika Conference, Istanbul, Turkey (2005)

    Google Scholar 

  11. Horvitz, E.: Uncertainty, Action and Interaction: In pursuit of Mixed initiative. In: IEEE Computing Intelligent Systems, pp. 17–20 (1999)

    Google Scholar 

  12. Valtchev, P., Missaoui, R., Lebrun, P.: A Fast Algorithm for Building the Hasse Diagram of a Galois Lattice. In: Colloquy LACIM 2000, Combinatoire, Informatique et Applications, pp. 293–306 (2000)

    Google Scholar 

  13. Pan, T., Tsai, Y.C., Fang, K.: Using formal concept analysis to design and improve multidisciplinary clinical processes. WSEAS Transactions on Information Science and Applications 5, 880–890 (2008)

    Google Scholar 

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Liu, X., Hong, W., Song, J., Zhang, T. (2010). Using Formal Concept Analysis to Visualize Relationships of Syndromes in Traditional Chinese Medicine. In: Zhang, D., Sonka, M. (eds) Medical Biometrics. ICMB 2010. Lecture Notes in Computer Science, vol 6165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13923-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-13923-9_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13922-2

  • Online ISBN: 978-3-642-13923-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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