• DocumentCode
    3198364
  • Title

    Complex network approach for analyzing TCM clinical herb-symptom relationships

  • Author

    Yubing Li ; Xuezhong Zhou ; Runshun Zhang ; YingHui Wang ; Jingqing Hu ; Qi Xie ; Baoyan Liu

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    116
  • Lastpage
    117
  • Abstract
    Traditional Chinese Medicine (TCM) is a discipline of clinical medicine, which focuses on individualized diagnosis and treatment based on observation of the clinical manifestations of real-world patients. The complicated interactions between different medical entities play significant role for individualized treatment. In this paper, we aim to find out the meaningful herb-symptom relationship from large number of clinical data with using complex network approach. We construct two different patient networks to verify the positive correlations between herbs and symptoms in TCM clinical treatment.
  • Keywords
    complex networks; patient diagnosis; patient treatment; TCM clinical herb-symptom relationships; TCM clinical treatment; Traditional chinese medicine; clinical data; clinical medicine; complex network approach; patient diagnosis; patient treatment; Complex networks; Correlation; Data mining; Diseases; Educational institutions; Knowledge engineering; Medical diagnostic imaging; Complex network; clinical data mining; herb-symptom relationship; traditional Chinese medicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732652
  • Filename
    6732652