Prognostic prediction of bilharziasis-related bladder cancer by neuro-fuzzy classifier

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

Volumn 2003-January, Issue , 2003, Pages 181-183

  Ji, Wei ^a   Naguib, R N G ^b   MacAll, J ^a   Petrovic, D ^b   Gaura, E ^b   Ghoneim, M ^c  

^a ROBERT GORDON UNIVERSITY   (United Kingdom)

^b Faculty of Engineering and Computing   (United Kingdom)

^c MANSOURA UNIVERSITY   (Egypt)

Author keywords

logistic regression; Medical decision making; Multi Layer Perceptron neural networks; soft computing

Indexed keywords

DECISION MAKING; DISEASES; FUZZY INFERENCE; FUZZY SETS; FUZZY SYSTEMS; NETWORK LAYERS; NEURAL NETWORKS; REGRESSION ANALYSIS; SOFT COMPUTING;

BREAST CANCER DATA; CLASSIFICATION RATES; CLASSIFICATION SYSTEM; LOGISTIC REGRESSIONS; MEDICAL DECISION MAKING; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; MULTILAYER PERCEPTION NEURAL NETWORKS; NEURO FUZZY CLASSIFIER;

CLASSIFICATION (OF INFORMATION);

EID: 84901554311     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2003.1222505     Document Type: Conference Paper

References (15)

1. R. M. Ripley, A. L. Harris, and L. Tarassenko, "Neural Network Models for Breast Cancer Prognosis", Neural Computing and Applications, 7, pp. 367-375, 1998.
2. C. H. Chen, J. D. Lee et al, "Colour Image Segmentation for Bladder Cancer Diagnosis", Mathematical and Computer Modelling, 27(2), pp. 103-120, 1998.
3. Y. H. Chou, C. M. Tiu, et al, "Stepwise Logistic Regression Analysis of Tumour Contour Features for Breast Ultrasound Diagnosis", Ultrasound in Medicine and Biology, 27(11), pp. 1493-1498, 2001.
4. S. S. Anand, A. E. Smith, et al, "An Evaluation of Intelligent Prognostic Systems for Colorectal Cancer", Artificial Intelligence in Medicine, 15(2), pp. 193-214, 1999.
5. L. Bottaci, P. J. Drew, et al, "Artificial Neural Networks Applied to Outcome Prediction for Colorectal Cancer Patients in Separate Institutions", Lancet, 350, pp. 469-472, 1997.
6. K. N. Qureshi, R. N. G. Naguib, et al, "Neural Network Analysis of Clinicopathological and Molecular Markers in Bladder Cancer", Journal of Urology, 163 (2), pp. 630-633, 2000.
7. W. Ji, R. N. G. Naguib et al, "Prognostic Value of Histology and Lymph Node Status in Bilharziasis-Bladder Cancer: Outcome Prediction Using Neural Networks", CD ROM Proceedings of the 23r Annual International Conference of the IEEE Engineering in Medicine and Biology Society, paper ID 844, 2001.
8. R. P. Lippmann, "introduction to Computing with neural nets", IEEEASSP Mag, pp. 4-22, 1987.
9. M. F. Abbod, D. G. Keyserlingk, et al, "Survey of Utilisation of Fuz2y Technology in Medicine and Healthcare", Fuzzy Sets and Systems, 120, pp. 331-349, 2001.
10. F. Steimann, "On the Use and Usefulness of Fuzzy Sets in Medical Al", Artificial Intelligence in Medicine, 21, pp. 131-137,2001.
11. L. X. Wang, "Adaptive Fuzzy Systems and Control", Prentice-Hall, Englewood Cliffs, NJ, 1994.
12. J. R. Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans, on SMC, 23(3), pp. 665-685, 1993.
13. http://terra.acs.unt.edu/Rdoc/librarv/mlbench/html/BreastCa ncer.html
14. L. Y. Cai and H. K. Kwan, "Fuzzy Classifications Using Fuzzy Inference Networks", IEEE Trans, on SMC, B, 28(3), pp. 334-347, 1998.
15. J. C. Bezdek., Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, 1981.