Neural Network-Based Assessment of Prognostic Markers and Outcome Prediction in Bilharziasis-Associated Bladder Cancer

IEEE Transactions on Information Technology in Biomedicine

Volumn 7, Issue 3, 2003, Pages 218-224

  Ji, Wei ^a,b   Naguib, Raouf N G ^a   Ghoneim, Mohamed A ^c  

^a Institute for Clean Growth and Future Mobility   (United Kingdom)

^b ROBERT GORDON UNIVERSITY   (United Kingdom)

^c MANSOURA UNIVERSITY   (Egypt)

Author keywords

Marker selection; Predictive analysis; Radial basis function (RBF) network; Schistosomiasis; Survival analysis

Indexed keywords

BIOMARKERS; CYTOLOGY; DNA; EPIDEMIOLOGY; HISTOLOGY; NEURAL NETWORKS; PATHOLOGY; PATIENT TREATMENT; RADIAL BASIS FUNCTION NETWORKS;

MARKER SELECTION; PREDICTIVE ANALYSIS; SCHISTOSOMIASIS; SURVIVAL ANALYSIS;

TUMORS;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BLADDER TUMOR; CLASSIFICATION; DISEASE FREE SURVIVAL; FEMALE; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; MORTALITY; PATHOLOGY; PROGNOSIS; RISK ASSESSMENT; RISK FACTOR; SCHISTOSOMIASIS; SURVIVAL; SURVIVAL RATE;

ADULT; AGED; ALGORITHMS; DISEASE-FREE SURVIVAL; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROGNOSIS; RISK ASSESSMENT; RISK FACTORS; SCHISTOSOMIASIS; SURVIVAL ANALYSIS; SURVIVAL RATE; URINARY BLADDER NEOPLASMS;

EID: 0142151170     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2003.813796     Document Type: Article

References (17)

1. K. N. Qureshi, R. N. G. Naguib, F. C. Hamdy, D. E. Neal, and J. K. Mellon, "Neural network analysis of clinicopathological and molecular markers in bladder cancer," J. Urol., vol. 163, no. 2, pp. 630-633, 2000.
2. R. Bedwani et al., "Schistosomiasis and the risk of bladder cancer in Alexandria, Egypt," Br. J. Cancer, vol. 77, no. 7, pp. 1186-1189, 1998.
3. W. E. Rifai et al., "DNA copy number changes in schistosomiasis-associated and nonschistosomiasis-associated bladder cancer," Amer. J. Pathol., vol. 156, no. 3, pp. 871-878, 2000.
4. M. H. Mostafa, S. A. Sheweita, and P. J. Connor, "Relationship between schistosomiasis and bladder cancer," Clin. Microbiol. Rev., vol. 12, no. 1, pp. 97-111, 1999.
5. M. T. Musavi et al., "Mouse chromosome classification by radial basis function network with fast orthogonal search," Neural Networks, vol. 11, pp. 769-777, 1998.
6. R. Dybowski, "Classification of incomplete feature vectors by radial basis function networks," Pattern Recognit. Lett., vol. 19, pp. 1257-1264, 1998.
7. K. Tumer, N. Ramanujam, J. Ghosh, and R. Richards-Kortum, "Spectroscopic detection of cervical pre-cancer through redial basis function networks," IEEE Trans. Biomed. Eng., vol. 45, no. 8, pp. 953-962, 1998.
8. M. A. Wirth, C. Choi, and A. Jennings, "A nonrigid-body approach to matching mammograms," in Proc. Inst. Elect. Eng. Image Processing and Its Applications, 1997, pp. 484-487.
9. C. Bishop, Neural Networks for Pattern Recognition. New York: Wiley, 1995.
10. L. I. Kunchera, "Initialization of an RBF network by a genetic algorithm," Neurocomputing, vol. 14, pp. 273-288, 1997.
11. R. L. Coultrip and R. H. Granger, "Sparse random networks with LTP learning rules approximate Bayes classifiers via Parzen's method," Neural Networks, vol. 7, pp. 463-476, 1994.
12. P. Hermanek et al., TNM Atlas: Illustrated Guide to the TNM/pTNM Classification of Malignant Tumours, 4th ed. Berlin, Germany: Springer, 1997.
13. J. Moody and C. Darken, "Fast learning in networks of locally tuned processing units," Neural Computation, vol. 1, no. 2, pp. 281-294, 1989.
14. Y. S. Hwang and S. Y. Bang, "An efficient method to construct a radial basis function neural network classifier," Neural Networks, vol. 10, no. 8, pp. 1495-1503, 1997.
15. J. T. Tou and R. C. Gonzalez, Pattern Recognition Principles. Reading, MA: Addison-Wesley, 1974.
16. D. F. Cook and C. C. Chiu, "Predicting the internal bond strength of particleboard utilizing a radial basis function neural network," Eng. Applicat. Artif. Intell., vol. 10, no. 2, pp. 171-177, 1997.
17. Clementine User Guide Version 5, Integral Solutions, 1998.