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
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