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S. Lukman, Y. L. He and S. C. Hui, “Computational Methods for Traditional Chinese Medicne: A Survey,” Computer Methods and Programs in Biomedicine, Vol. 88, 2007, pp. 283-294.

has been cited by the following article:

• TITLE: Construction and Application of the Multidimensional Table for Knowledge Discovery in Ancient Chinese Books on Materia Medica

  AUTHORS: Rui Jin, Qian Lin, Jun Zhou, Boyu Sun, Bing Zhang

  KEYWORDS: Multidimensional Table; TCM; Herbal Medicine; Data Mining; Knowledge Discovery

  JOURNAL NAME: Engineering, Vol.5 No.10B, October 23, 2013

  ABSTRACT: Knowledge discovery, as an increasingly adopted information technology in biomedical science, has shown great promise in the field of Traditional Chinese Medicine (TCM). In this paper, we provided a kind of multidimensional table which was well suited for organizing and analyzing the data in ancient Chinese books on Materia Medica. Moreover, we demonstrated its capability of facilitating further mining works in TCM through two illustrative studies of discovering meaningful patterns in the three-dimensional table of Shennong’s Classic of Materia Medica. This work might provide an appropriate data model for the development of knowledge discovery in TCM.