Neural network techniques for cancer prediction: A survey

Procedia Computer Science

Volumn 60, Issue 1, 2015, Pages 769-774

  Agrawal, Shikha ^a   Agrawal, Jitendra ^a  

^a Rajiv Gandhi Proudyogiki Vishwavidyalaya   (India)

Author keywords

Artificial neural network; Cancer prediction; Classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); COST EFFECTIVENESS; DISEASES; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; PATIENT TREATMENT; SURVEYS;

CANCER PATIENTS; CANCER PREDICTION; COST EFFECTIVE; MEDICAL DIAGNOSTICS; MEDICAL PRACTITIONER; MEDICAL SCIENCE; NETWORK TECHNOLOGIES; NEURAL NETWORK TECHNIQUES;

DIAGNOSIS;

EID: 84941145658     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.08.234     Document Type: Conference Paper

References (16)

1. Y. Wang, F. S. Makedon, J. C. Ford, J. Pearlman. Hyk Gene: A hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data; Bioinformatics; 15; 2005; p. 1530-1537.
2. Sung-Bae Cho, Hong-Hee Won. Cancer classification using ensemble of neural networks with multiple significant gene subsets; ApplIntell; 26; 2007; p. 243-250.
3. Hu Y., Ashenayi K., Veltri, R., O'Dowd G., Miller G., Hurst R. Bonner. A comparison of neural network and fuzzy c-means methods in bladder cancer cell classification; In Proceedings of IEEE World Congress on Computational Intelligence; 6; 1994; p. 3461-3466.
4. Hong-Hee Won, Sung-Bae Cho. Paired neural network with negatively correlated features for cancer classification in DNA gene expression profiles; In Proceedings of the International Joint Conference on Neural Networks; 3; 2003; p. 1708-1713.
5. Rui Xu, Xindi Cai, Donald C., Wunsch II. Gene Expression Data for DLBCL Cancer Survival Prediction with A Combination of Machine Learning Technologies; In Proceedings of the IEEE International Conference on Medicine and Biology, 2005, p. 894-897.
6. Bevilacqua, V., Mastronardi, G., Menolascina, F., Pannarale P., Pedone. A Novel Multi-Objective Genetic Algorithm Approach to Artificial Neural Network Topology Optimisation; The Breast Cancer Classification Problem; In Proceedings of International Joint Conference on Neural Networks (IJCNN'06); 2006; p. 1958-1965.
7. L. Ziaei, A. R. Mehri, M. Salehi. Application of Artificial Neural Networks in Cancer Classification and Diagnosis Prediction of a Subtype of Lymphoma Based on Gene Expression Profile; Journal of Research in Medical Sciences; 11(1), 2006; p. 13-17.
8. Hiro Takahashi, Yasuyuki Murase, Takeshi Kobayashi, Hiroyuki Honda. New cancer diagnosis modeling using boosting and projective adaptive resonance theory with improved reliable index; Biochemical Engineering Journal 33; 2007; p. 100-109.
9. Sung-Bae Cho, Hong-Hee Won. Cancer classification using ensemble of neural networks with multiple significant gene subsets" C-Springer Science and Business Media; ApplIntell; 26; 2007; p. 243-250.
10. Yuchun Tang, Yan-Qing Zhang, Zhen Huang, Xiaohua Hu, Yichuan Zhao. Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification; IEEE Transactions on Information Technology in Biomedicine; 2(6);2008; p. 723-730.
11. Joshi D. M, Rana N. K., Misra V. M. Classification of Brain Cancer using Artificial Neural Network; In Proceedings of International Conference on Electronic Computer Technology (ICECT); 2010; p. 112-116.
12. P. Rajeswari, G. Sophia Reena. Human Liver Cancer Classification using Microarray Gene Expression Data; In Proceedings of International Journal of Computer Applications; 34(6);2011; p. 25-37.
13. Sahu Barnali, Mishra Debahuti. A Novel Feature Selection Algorithm using Particle Swarm Optimization for Cancer Microarray Data; In Proceedings of International Conference on Modeling Optimization and Computing (ICMOC-2012); Procedia Engineering; 38; 2012; p. 27-31.
14. S. Swathi, G. Anjan Babu, R. Sendhilkumar, Sreenu, Naik Bhukya. Performance of ART1 Network in the Detection of Breast Cancer; In Proceedings of International conference on Computer design and Engineering (ICCDE 2012); 49; 2012; DOI:10.7763/IPCSIT.2012. V49.19; p. 100-105.
15. Dev Jayshree, Dash Sanjitkumar, Dash Sweta, Swain Madhusmita. A Classification Technique for Microarray Gene Expression Data using PSO-FLANN; In Proceedings of International Journal on Computer science and Engineering; 4(9);2012; p. 1534-1535.
16. Sharma Akanksha, Kuar Parminder. Optimized Liver Tumor Detection and Segmentation Using Neural Network; In Proceedings of International Journal of Recent Technology and Engineering (IJRTE); 2(5);2013; p. 7-10.