Challenges to building a platform for a breast cancer risk score

Proceedings - International Conference on Research Challenges in Information Science

Volumn , Issue , 2012, Pages

  Gauthier, Émilien ^a,b   Brisson, Laurent ^a   Lenca, Philippe ^a   Clavel Chapelon, Françoise ^b,c   Ragusa, Stéphane ^b  

^a ECOLE DES MINES DE NANTES   (France)

^b INSTITUT GUSTAVE ROUSSY   (France)

^c UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER RISK; CANCER RISK; DOMAIN EXPERTS; END USERS; K NEAREST NEIGHBOR ALGORITHM; RISK SCORE; SCREENING PROGRAMS; WORLD HEALTH ORGANIZATION;

INFORMATION SCIENCE;

EID: 84865028390     PISSN: 21511349     EISSN: 21511357     Source Type: Conference Proceeding    
DOI: 10.1109/RCIS.2012.6240437     Document Type: Conference Paper

References (22)

1. IARC, "World Cancer Report," p. 512, 2008. [Online]. Available: http://www.iarc.fr/en/publications/pdfs-online/wcr/index.php
2. P. Testard-Vaillant, "The war on cancer," CNRS international magazine, vol. 17, pp. 18-21, 2010.
3. B. Fisher, J. P. Costantino, D. L. Wickerham, C. K. Redmond, M. Kavanah, W. M. Cronin, V. Vogel, A. Robidoux, N. Dimitrov, J. Atkins, M. Daly, S. Wieand, E. Tan-Chiu, L. Ford, N. Wolmark, other National Surgical Adjuvant Breast, and B. P. Investigators, "Tamoxifen for prevention of breast cancer: Report of the national surgical adjuvant breast and bowel project p-1 study," J. Natl. Cancer Inst., vol. 90, no. 18, pp. 1371-1388, 1998.
4. M. H. Gail, L. A. Brinton, D. P. Byar, D. K. Corle, S. B. Green, C. Schairer, and J. J. Mulvihill, "Projecting individualized probabilities of developing breast cancer for white females who are being examined annually," J. Natl. Cancer Inst., vol. 81, no. 24, pp. 1879-1886, 1989.
5. R. K. Matsuno, J. P. Costantino, R. G. Ziegler, G. L. Anderson, H. Li, D. Pee, and M. H. Gail, "Projecting individualized absolute invasive breast cancer risk in asian and pacific islander american women," J. Natl. Cancer Inst., 2011.
6. A. Decarli, S. Calza, G. Masala, C. Specchia, D. Palli, and M. H. Gail, "Gail model for prediction of absolute risk of invasive breast cancer: Independent evaluation in the florence-european prospective investigation into cancer and nutrition cohort," J. Natl. Cancer Inst., vol. 98, no. 23, pp. 1686-1693, 2006.
7. J. Costantino, M. Gail, D. Pee, S. Anderson, C. Redmond, J. Benichou, and H. Wieand, "Validation studies for models projecting the risk of invasive and total breast cancer incidence." J. Natl. Cancer Inst., vol. 91, no. 18, pp. 1541-8, 1999.
8. B. Rockhill, D. Spiegelman, C. Byrne, D. J. Hunter, and G. A. Colditz, "Validation of the gail et al. model of breast cancer risk prediction and implications for chemoprevention," J. Natl. Cancer Inst., vol. 93, no. 5, pp. 358-366, 2001. [Online]. Available: http://jnci.oxfordjournals.org/content/ 93/5/358.abstract
9. E. B. Claus, N. Risch, and W. D. Thompson, "Autosomal dominant inheritance of early-onset breast cancer. implications for risk prediction," Cancer, vol. 73, no. 3, pp. 643-651, 1994.
10. W. E. Barlow, E. White, R. Ballard-Barbash, P. M. Vacek, L. Titus- Ernstoff, P. A. Carney, J. A. Tice, D. S. M. Buist, B. M. Geller, R. Rosenberg, B. C. Yankaskas, and K. Kerlikowske, "Prospective breast cancer risk prediction model for women undergoing screening mammography," J. Natl. Cancer Inst., vol. 98, no. 17, pp. 1204-1214, 2006.
11. J. M. Jerez-Aragonés, J. A. Gómez-Ruiz, G. Ramos-Jiménez, J. Muñoz-Pérez, and A.-C. E., "A combined neural network and decision trees model for prognosis of breast cancer relapse," Artificial Intelligence in Medicine, vol. 27, pp. 45-63(19), jan 2003.
12. A. Endo, T. Shibata, and H. Tanaka, "Comparison of seven algorithms to predict breast cancer survival," Biomedical Soft Computing and Human Sciences, vol. 13 2, pp. 11-16, 2008.
13. N. Japkowicz and S. Stephen, "The class imbalance problem: A systematic study," Intelligent Data Analysis, vol. 6, no. 5, pp. 429-449, 2002.
14. S. Visa and A. Ralescu, "Issues in mining imbalanced data sets - a review paper," in Sixteen Midwest Artificial Intelligence and Cognitive Science Conference, 2005, pp. 67-73.
15. F. Clavel-Chapelon and E3N Group, "E3N, a french cohort study on cancer risk factors," European Journal of Cancer Prevention, vol. 6, no. 473-478, 1997.
16. P. Chapman, J. Clinton, R. Kerber, and T. Khabaza, "CRISP-DM 1.0 step-by-step data mining guide," The CRISP-DM Consortium, Tech. Rep., 2000.
17. E. Fix and J. Hodges, "Discriminatory analysis, non-parametric discrimination: consistency properties," USAF Scholl of aviation and medicine, Randolph Field, Tech. Rep., 1951.
18. T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Transactions on Information Theory, vol. 13, no. 1, pp. 21-27, 1967.
19. J. P. Egan, Signal detection theory and ROC analysis, ser. Series in Cognition and Perception. Academic Press, 1975.
20. T. Fawcett, "An introduction to ROC analysis," Pattern Recogn. Lett., vol. 27, no. 8, pp. 861-874, 2006.
21. E. Gauthier, L. Brisson, P. Lenca, and S. Ragusa, "Breast cancer risk score: a data mining approach to improve readability," in The International Conference on Data Mining, 2011, pp. 15-21.
22. S. A. Dudani, "The distance-weighted k-nearest-neighbor rule," Systems, Man and Cybernetics, IEEE Transactions on, vol. SMC-6, no. 4, pp. 325-327, april 1976.