• DocumentCode
    2617942
  • Title

    Challenges to building a platform for a breast cancer risk score

  • Author

    Gauthier, Émilien ; Brisson, Laurent ; Lenca, Philippe ; Clavel-Chapelon, Françoise ; Ragusa, Stéphane

  • Author_Institution
    Inst. Mines-Telecom, Telecom Bretagne, Brest, France
  • fYear
    2012
  • fDate
    16-18 May 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Cancer has recently become the leading cause of death worldwide according to the World Health Organization. As a consequence, health authorities acknowledge the need to implement prevention and screening programs to decrease its incidence. The efficiency of these programs can be increased by targeting higher risk subsets of the population. Efficient tools capable of monitoring the population risk are therefore needed. Constraints to building cancer risk scores and impacts on the tools platform are presented. Major constraints beyond performance of a risk score concern the role of domain experts and their acceptability by end users. Readability is therefore an important criterion. It is shown that a simple k-nearest-neighbor algorithm can achieve good performance with the help of the domain expert. To illustrate this, a risk score made of only four attributes is presented for the French population.
  • Keywords
    cancer; medical computing; pattern clustering; French population; World Health Organization; breast cancer risk score; domain experts; health authorities; simple k-nearest-neighbor algorithm; Breast cancer; Computational modeling; Databases; Servers; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Information Science (RCIS), 2012 Sixth International Conference on
  • Conference_Location
    Valencia
  • ISSN
    2151-1349
  • Print_ISBN
    978-1-4577-1936-3
  • Electronic_ISBN
    2151-1349
  • Type

    conf

  • DOI
    10.1109/RCIS.2012.6240437
  • Filename
    6240437