• DocumentCode
    2766626
  • Title

    Exploring the biological basis of deficiency pattern in rheumatoid arthritis through text mining

  • Author

    Zheng, Guang ; Jiang, Miao ; Lu, Cheng ; Guo, Hongtao ; Zhan, Junping ; Lu, Aiping

  • Author_Institution
    Sch. of Inf. Sci.-Eng., Lanzhou Univ., Lanzhou, China
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    811
  • Lastpage
    816
  • Abstract
    In the theory of traditional Chinese medicine, deficiency pattern is a distinguished one among patterns in rheumatoid arthritis. As for the explanation of deficiency pattern in rheumatoid arthritis, traditional Chinese medicine explains the deficiency in organs of both liver and kidney. As for the modern medicine, no specific factor available to explain it. In this paper, we propose an approach through data mining to explore the biological basis of deficiency pattern in rheumatoid arthritis. In this approach, the first step is to find the formula in traditional Chinese medicine in the treatment of rheumatoid arthritis. Then, list out the top three diseases which can be regulated by this formula. After that, we can find the networks of biological basis existing among all these three diseases by data mining. By analyzing these networks, directly or not, the deficiency pattern in rheumatoid arthritis might be caused by the chronic inflammation.
  • Keywords
    data mining; diseases; medical computing; text analysis; Chinese medicine; chronic inflammation; data mining; deficiency pattern; disease; rheumatoid arthritis; text mining; Arthritis; Medical diagnostic imaging; Osteoarthritis; Proteins; Text mining; biological basis; chronic inflammation; deficiency pattern; rheumatoid arthritis; text mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1612-6
  • Type

    conf

  • DOI
    10.1109/BIBMW.2011.6112477
  • Filename
    6112477