• DocumentCode
    1813296
  • Title

    Diagnostic tool to detect early stage of breast cancer using fuzzy logic

  • Author

    Mazlan, Umi Hanim ; Sabli, Mohamad Azmeer ; Ab Raji, Nurul Hidayah ; Jamaluddin, Siti Hafawati ; Wan Ismail, Wan Saiful´Azzam

  • Author_Institution
    Fac. of Comput. & Math. Sci., Univ. Teknol. MARA Perlis, Arau, Malaysia
  • fYear
    2015
  • fDate
    21-23 April 2015
  • Firstpage
    73
  • Lastpage
    76
  • Abstract
    Cancer is a dangerous disease that can be treated at an early stage. Most of the cancers will show their early symptoms. However, the people at risk usually ignore the early symptoms they have cause they cannot be treated quickly. For breast cancer, Breast Self Examination (BSE), is the fastest screening test that can be conducted individually to detect the early symptoms. However, the BSE alone only makes people ambiguous with their own test. This problem can be tackled with the diagnostic tool that can support BSE in producing convincing result to rely on. In order to develop the diagnostic tool, fuzzy logic technique is applied since one of the major contributions of this method is its high level of precision. The intention of this study is also to provide information regarding breast cancer, thus the diagnostic tool is incorporated with informative web-based system.
  • Keywords
    Internet; cancer; fuzzy logic; medical diagnostic computing; BSE screening test; breast cancer detection; breast self examination; diagnostic tool; fuzzy logic; informative Web-based system; Breast cancer; Data acquisition; Fuzzy logic; Pragmatics; Testing; Diagnostic tool; breast cancer; fuzzy logic; web-based system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Communications, and Control Technology (I4CT), 2015 International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/I4CT.2015.7219540
  • Filename
    7219540