Abstract
What mentioned about in this paper was a new idea on mining experience of famous TCM doctors in the treatment of TCM Dyspnea Syndrome. In the process of study, TCM Dyspnea Syndrome was taken as the object of study, and relevant medical records about TCM Dyspnea Syndrome were selected. Rough concept lattice clustering technique was involved in association rules analysis on common clinical medicines applied in the treatment of TCM Dyspnea Syndrome.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ma, H., Wang, Y., Gong, W., Bao, J. (2012). TCM Dyspnea Syndrome Experience Mining Based on Rough Set Theory. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_84
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DOI: https://doi.org/10.1007/978-3-642-34041-3_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34040-6
Online ISBN: 978-3-642-34041-3
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