• DocumentCode
    188910
  • Title

    Network Analysis and Experimental Validation of the Five Shu Points Model of Traditional Oriental Medicine

  • Author

    Seonghui An ; SeungHeui Ryu ; Min Jung Kim ; Sang Min Lee ; DoHoon Lee

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    410
  • Lastpage
    415
  • Abstract
    In this paper, we propose an extended network model to detect relationships among disease states based on the Five Shu Points model commonly used in traditional oriental medicine. We expand the network model to encompass relationships between disease state and protein expression by using Korean traditional disease codes as a classifier. On the basis of the proposed model, we show that interactions between the Five Shu points can be validated with experimental observations.
  • Keywords
    diseases; network theory (graphs); pattern classification; proteins; Five Shu Points model; Korean traditional disease codes; classification; disease state relationship detection; extended network model; network analysis; protein expression; traditional oriental medicine; Data models; Databases; Diseases; Heart; Kidney; Lungs; Proteins; disease protein; network modeling; the five shu point model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2014 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/CIT.2014.152
  • Filename
    6984688