• DocumentCode
    1809434
  • Title

    Poster: Applying data mining algorithms to early detection of liver cancer

  • Author

    Pinheiro, Fabiola M R ; Kuo, Mu-Hsing

  • Author_Institution
    Sch. of Health Inf. Sci., Univ. of Victoria, Victoria, BC, Canada
  • fYear
    2012
  • fDate
    23-25 Feb. 2012
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    According to the World Health Organization, cancer is leading cause of deaths globally. Among all types cancer, liver cancer has the lowest survivability, with approximately 1 million deaths each year. Its rising incidence in the past decade is projected to continue is associated with varying demographic factors. Data mining can be of great utility in better understanding which risk factors are associated with increased incidence of liver cancer, as suggested by previous studies.
  • Keywords
    cancer; data mining; liver; medical computing; World Health Organization; data mining algorithms; early liver cancer detection; risk factors; Algorithm design and analysis; Association rules; Cancer; Liver; Surgery; FP-growth; apriori; association algorithm; data mining; liver cancer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4673-1320-9
  • Electronic_ISBN
    978-1-4673-1319-3
  • Type

    conf

  • DOI
    10.1109/ICCABS.2012.6182656
  • Filename
    6182656