Classification of ECG patterns using fuzzy rules derived from ID3-induced decision trees

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn , Issue , 1998, Pages 34-38

  Bensaid, Amine M ^a   Bouhouch, Nadia ^a   Bouhouch, Rachida ^b   Fellat, Roukiya ^b   Amri, Rachida ^c  

^a AL AKHAWAYN UNIVERSITY   (Morocco)

^b Hopital d'Enfants   (Morocco)

^c Cardiologie A   (Morocco)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; ELECTROCARDIOGRAPHY; FUZZY RULES; NEURAL NETWORKS; TREES (MATHEMATICS);

CASCADE CORRELATION; CASCADE CORRELATION NEURAL NETWORKS; DEFUZZIFICATIONS; ECG CLASSIFICATIONS; FEED-FORWARD;

FUZZY INFERENCE;

EID: 84962455950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.1998.715524     Document Type: Conference Paper

References (24)

1. Schiffmann, W., M. Joost, and R. Werner, "Comparison of Optimized backprop algorithms," in: M. Verleysen (ed.), European Symposium on Artificial Neural Networks, brussels, pp. 97-104, 1993.
2. Dietmar P.F. Moller. "Fuzzy Logic in Medicine," EUFIT '96, September 2-5 1996.
3. Kononenko, I., Bratko, I., E. "Experiments in automatic learning of medical diagnostic rules," Technical report. Josef Stefan Institute, Ljubljana, Yugoslavia, 1984.
4. J. R. Quinlan. "Induction of decision trees," Machine learning, vol. 1, pp. 81-106, 1986.
5. P. E. Maher and D. St. Clair. "Uncertain reasoning in an ID3 machine learning framework, " in Proc. Second IEEE Int. Conf. Fuzzy Syst, San Francisco, CA, 1993, pp. 7-12.
6. Z. Chi and M. Jarbi. "A comparison of MLP and ID3-derived approaches for ECG classification," in Proc. Second Australian Conf. Neural Networks, Sydney, Australia, 1991, pp. 263-266.
7. T. G. Dietterich, H. Hild, and G. Bakiri, "A comparison of ID3 and backpropagation for English text-to-speech mapping," Tech. Rep., Dept. Comput. Sci., Oregon State Univ., Corvallis, OR.
8. Z. Chi, and H. Yan. "ID3-derived fuzzy rules and optimized deffuzzification for handwritten numeral recognition," IEEE Trans. Fuzzy Syst., vol. 4, no. 1, pp. 24-31, 1996.
9. A. Grauel, G. Klene, L. A. Ludwig, "Rule-Based Fuzzy Logic System for ECG Interpretation," EUFIT '97, September 8-11, 1997
10. E. Vullings, A.J. Krijgsman, and H.B. Verbruggen. "Validating ECG Signals using an ANN and Fuzzy Clusters," EUFIT '96, September 2-5 1996.
11. Bo Heden, Mattias Ohlsson, Lars Edenbrandt, Ralf Rittner, Olle Pahlm, and Carsten Peterson. "Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal," Neural Networks for Analysis of Electrocardiograms pp. 929-933, 1995.
12. C. C. Lee. "Fuzzy Logic in control systems: Fuzzy logic controller, Part I," IEEE Trans. Syst, Man, Cybern., vol. 20, no. 2, pp. 404-418, 1990.
13. C. C. Lee. "Fuzzy Logic in control systems: Fuzzy logic controller, Part II," IEEE Trans. Syst., Man, Cybern., vol. 20, no. 2, pp. 419-435,1990.
14. J. C. Bezdek and S. K. Pal, Eds. "Fuzzy Models for Pattern recognition". Piscataway, NJ: IEEE Press, 1992.
15. Z. Chi and H. Yan. "Map image segmentation based on thresholding and fuzzy rules," Electron. Lett, vol. 29, no. 21, pp. 1841-1843, 1993.
16. Z. Chi and H. Yan. "Handwritten numeral recognition using self-organizing maps and fuzzy rules," Pattern Recognition, vol. 28, no. 1, pp. 59-66, 1995.
17. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. "Learning Internal Representations by Error Propagation" in Rumelhart, D. E. and McClelland, J. L., Parallel Distributed Processing: Explorations in the Microstructure of Cognition, MIT Press, 1986.
18. Fahlman, S. E. "Faster-Learning Variations on Back-Propagation: An empirical Study" in Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann, 1988.
19. Scott E. Fahlman and Christian Lebiere. "The Cascade-Correlation Learning Architecture", In Advances in Neural Information Processing Sys., 2 (D.S. Touretzky, ed.), pp. 524-532. San Matio, Ca: Morgan Kaufmann, February 1990.
20. Pierre Godeau, Traite de Medecine, Tome 1, 2ieme edition, Medecine Sciences Flammarion, Paris, 1987.
21. J. R. Quinlan. "Learning efficient classification procedures and their application to chess endgames, in Michalski, R. S., Carbonell, J., and Mitchell, T. M.", (eds.), Machine Learning: An artificial intelligence approach, Vol. I, Palo Alto: Tioga Press. 463-482, 1983.
22. J. R. Quinlan. "The effect of noise on concept learning." In Michalski, R. S., Carbonell, J., and Mitchell, T. M.", (eds.), Machine Learning, Vol. II, Palo Alto: Tiago Press. 149-166, 1986.
23. J. R. Quinlan. "simplifying decision trees". International Journal of Man-Machine Studies, 27, 221-234, 1987.
24. Devijver, P. and Kittler, J. Pattern Recognition: A Statistical Approach, Prentice-hall, Englewood Cliffs, NJ, 1982.