Predicting breast cancer survivability using data mining techniques

ICSTE 2010 - 2010 2nd International Conference on Software Technology and Engineering, Proceedings

Volumn 2, Issue , 2010, Pages 227-231

  Sarvestani, A Soltani ^a   Safavi, A A ^a   Parandeh, N M ^b   Salehi, M ^c  

^a SHIRAZ UNIVERSITY   (Iran)

^b UNIVERSITY OF MYSORE   (India)

^c University of Medical Science   (Iran)

Author keywords

Breast cancer; Data mining; Neural network

Indexed keywords

BREAST CANCER; BREAST CANCER DATA; DATA MINING TECHNIQUES; DATA SETS; DISEASE DEVELOPMENT; GENERAL REGRESSION NEURAL NETWORK; HIGH DIMENSIONS; KNOWLEDGE DISCOVERY; NEURAL NETWORK STRUCTURES; PRINCIPAL COMPONENTS; PROBABILISTIC NEURAL NETWORKS; STATISTICAL NEURAL NETWORKS; WISCONSIN;

PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS;

DATA MINING;

EID: 78650026617     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSTE.2010.5608818     Document Type: Conference Paper

References (14)

1. T. Kiyan, T. Yildirim, "Breast Cancer Diagnisis Using Statistical Neural Networks," JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING, Vol.4 No.2,2004, pp.1149-1153.
2. A. Bellachia, E. Guven, "Predicting Breast Cancer Survivability Using Data Mining Technigues," 2006
3. Two Crows Corporation(2005), Introduction to data mining and knowledge discovery, Third edition.
4. J. E. Dayhoff, J.E., Neural Network Architectures. Van Nostrand Reinhold, New York, 1990.
5. S. Haykin, Neural Networks: A Comprehensive Foundation, Mac Millan College Publishing Company, 1994.
6. T. Anthony, C. Goh, "Probabilistic neural network for seismic liquefaction potential," NRC Research Press Web site, 2002.
7. A. A. Safavi, J.A. Romagnoli, "Application of wavelet-based neural networks to modelling and optimisation of an experimental distillation column", (IFAC Journal of) Engineering Applications of Artificial Intelligence, Vol. 10, No. 3, 1997, pp.301-313.
8. V. Zitko, "Principal component analysis in the evaluation of environmental data," Mar. Pollut. Bull.1994, pp.718-722..
9. www.ailab.si/orange/doc/datasets/breast-cancer-wisconsin.htm
10. F, Benjamin et. Al "The Surveillance, Epidemiology, and End Results Program": A National Resource. Cancer Epidemiology Biomarkers & Prevention, 1999, pp.1117-1121.
11. K. J. Cios, G. W. Moore, "Uniqueness of medical data mining." Artificial Intelligence in Medicine, 2002, pp.1-24.
12. J. Han, M, Kamber, Data Mining concepts and Techniques, Morgan kaufmann publishers, 2001
13. Matlab(2006). By the math works, Inc
14. (http://www.cancer.org/).