• DocumentCode
    3335862
  • Title

    Research on dietetic therapy of TCM by computer-aided design

  • Author

    Yu, Sheng ; Li, Shao-Zi ; Chen, Jin-Xiu ; Guo, Feng

  • Author_Institution
    Dept. of Cognitive Sci., Xiamen Univ., Xiamen, China
  • Volume
    1
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    1085
  • Lastpage
    1090
  • Abstract
    With the full use of syndrome differentiation theory and making the best of the treatment of medicated diet, the dietetic therapy of traditional Chinese medicine is devoted to harmonize the Yin, Yang, Qi, blood within the human body, to improve human body´s health effectively. In this paper, we proposed an improved information gain method based on information gain method and TF-IDF method to express symptoms and mine the relationship between symptoms and category of medicated diet. According to the given symptom sets, it got the most suitable and likely category of medicated diet. In this way, it could simulate the diagnosis of the dietetic therapy of traditional Chinese medicine. The results show that the improved information gain method is more effective than information gain method and TF-IDF method on the expression of symptoms and can improve the accuracy of classification.
  • Keywords
    CAD; data mining; medical diagnostic computing; medical information systems; patient treatment; TF-IDF method; computer-aided design; dietetic therapy; information gain method; syndrome differentiation theory; traditional Chinese medicine; Blood; Cognitive science; Curing; Design automation; Humans; Medical diagnostic imaging; Medical simulation; Medical treatment; Spatial databases; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-3928-7
  • Electronic_ISBN
    978-1-4244-3930-0
  • Type

    conf

  • DOI
    10.1109/ITIME.2009.5236238
  • Filename
    5236238