• DocumentCode
    553152
  • Title

    Applying discrete derivative algorithm in two dimensions in mining acupuncture and moxibustion rules on Bell´s palsy

  • Author

    Zhongxian Li ; Guang Zheng ; Hongtao Guo ; Jinsheng Yang ; Aiping Lu

  • Author_Institution
    Network Center, Lanzhou Univ., Lanzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1570
  • Lastpage
    1574
  • Abstract
    Acupuncture and moxibustion are important components in traditional Chinese medicine. It is efficient in dealing with some diseases, esp. Bell´s palsy. In this paper, we mined the data set of literature downloaded from SinoMed on Bell´s palsy by executing the data slicing algorithm. For the first time, we calculated them in two dimensions. On one-dimension, we calculated the frequencies of acupuncture points existed in literature. On two-dimension, we calculated the networks of acupoint pairs co-existed in literature. By examining the mining results, we found the sets of acupuncture points in clinical practices. By examining these results, not only regular acupoints in the textbook of acupuncturology are mined out, but also some other acupoints widely used in the clinical practises of acupuncture.
  • Keywords
    data mining; diseases; medical computing; Bell´s Palsy; acupoint pairs; acupuncture rule mining; acupuncturology; clinical practices; data slicing algorithm; discrete derivative algorithm; diseases; moxibustion rule mining; traditional Chinese medicine; Algorithm design and analysis; Data mining; Diseases; Encyclopedias; Intestines; Materials; Presses; Bell´s palsy; acupuncture; data mining; discrete derivative;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019782
  • Filename
    6019782