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
Link To Document :
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