• DocumentCode
    605974
  • Title

    Exploring associated networks of cold herb and hot herb within the framework of traditional Chinese medicine through text mining

  • Author

    Fei Liang ; Junping Zhan ; Guang Zheng ; Miao Jiang ; Cheng Lu ; Aiping Lu

  • Author_Institution
    Beijing Univ. of Chem. Technol., Beijing, China
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    344
  • Lastpage
    347
  • Abstract
    It is an interesting and meaningful thing to explore the associated networks between cold herb and hot herb within the framework of traditional Chinese medicine because they might be useful for both clinical practice and scientific research. In this study, focused on the fields of disease, pattern/syndrome, symptom, and decoction, we constructed the associated networks between cold herb and hot herb. By analyzing these networks, we found that there is no clear separation between cold herb and hot herb. What´s more, they have mutual parts among their networks on disease, pattern/syndrome, symptom, and decoction.
  • Keywords
    data mining; medical information systems; text analysis; associated networks; cold herb; decoction; disease; hot herb; pattern-syndrome; symptom; text mining; traditional Chinese medicine; cold herb; hot herb; network; text mining; traditional Chinese medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528654