A rough neural expert system for medical diagnosis

2005 International Conference on Services Systems and Services Management, Proceedings of ICSSSM'05

Volumn 2, Issue , 2005, Pages 1130-1135

  An, Liping ^a   Tong, Lingyun ^a,b  

^a NANKAI UNIVERSITY   (China)

^b HEBEI UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Expert system; Knowledge acquisition; Neural networks; Rough sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; EXPERT SYSTEMS; KNOWLEDGE ACQUISITION; MEDICAL PROBLEMS; ROUGH SET THEORY;

ATTRIBUTE REDUCTION; DATA TRANSFORMATION; DISCRETIZATION; LEARNING PROGRAM;

NEURAL NETWORKS;

EID: 33745267230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSSSM.2005.1500173     Document Type: Conference Paper

References (20)

1. E. Shortliffe, Computer Based Medical Consultations: MYCIN (Book style). New York: Elsevier, 1976.
2. M. S. Ralph and W: R. George, Principles of Information Systems: A Managerial Approach (Book style). Fifth Edition, Boston, Mass.:Course Technology, Thomson Learning, 2001, pp. 442-443.
3. L. R. Medsker, "The synergism of expert system and neural network technologies (Periodical style)", Expert Systems with Applications, vol.2, no. 1,pp.1-2, 1991.
4. Z. Pawlak, "Rough sets (Periodical style)". International Journal of Information and Computer Sciences, vol. 11, no. 5, pp. 341-356, 1982.
5. Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning about Data (Book style), Dordrecht: Kluwer Academic Publishers, 1991.
6. J. Jelonek, K. Krawiec, and R. Slowinski, "Rough set reduction of attributes and their domains for neural networks (Periodical style)". Computational Intelligence, vol. 11, no.2 , pp. 339-347, 1995.
7. M. E.Yahia, R. Mahmod, N. Sulaiman, and R Ahmad, "Rough neural expert systems (Periodical,style)", Expert Systems with Applications, vol.18, pp. 87-99, 2000.
8. A. Øhm, "ROSETTA Technical Reference Manual," Trondheim, Norway: Department of Computer and Information Science, Norwegian University of Science and Technology, 2000.
9. G. Günther and I. Düntsch, "Maximum consistency of incomplete data via non-invasive imputation," Available: http ://www.infj.ulst.ac.uk/-cccz23/ papers/miss.html, 1999.
10. A. Øhrn, "Discemibility and Rough Sets in Medicine: Tools and Applications (Thesis or Dissertation style)," Ph.D. dissertation, Trondheim, Norway: Norwegian University of Science and Technology, Department of Computer and Information Science, 1999.
11. S. H. Nguyen and H. S. Nguyen, "Some efficient algorithms for rough set methods (Published Conference Proceedings style)," in Proceedings of the Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems. Spain: Granada, 1996, pp1451-1456.
12. U. M. Fayyad and K. B. Irani, "On the handling of continuous-valued attributes in decision tree generation(Periodical style)", Machine Learning, vol. 8, pp. 87-102, 1995.
13. R. Kerber, "Chimerge: discretization of numeric attributes (Published Conference Proceedings style)", Proc. Of the Tenth National Conference on Artificial Intelligence, Massachusetts: MIT Press, pp123-128, 1992.
14. H. Liu and R. Setiono, "Chi2: Feature selection and discretization of numeric attributes (Published Conference Proceedings style)", Proceedings of the 7th International Conference on Tools with Artificial Intelligence, Washington D.C., pp388-391, 1995.
15. S. Vinterbo and A. Øhrn, "Minimal approximate hitting sets and rule templates (Periodical style)". International Journal of Approximate Reasoning, vol. 25, pp. 123-143, 2000.
16. J. Wroblewski, "Finding minimal redacts using genetic algorithms (Published Conference Proceedings style)", Proc. Second International Joint Conference on Information Sciences, Wrightsville Beach, NC., pp186-189, 1995.
17. G. J. Bazan, A. Skowron, and P. Synak, "Dynamic redacts as a tool for extracting laws from decision tables (Published Conference Proceedings style)", Proc. Symp. on Methodologies for Intelligent Systems. Charlotte, NC: Spinger-Verlag, pp346-355, 1994,
18. R. R. Hashemi, F. R. Jelovsek, and M. Razzaghi, "Developmental toxicity risk assessment: A rough sets approach (Periodical style)", International Journal of Methods of Information in Medicine, vol. 32, pp. 47-54, 1993.
19. X. H. Hu, "Knowledge discovery in databases: an attribute-oriented rough set approach (Thesis or Dissertation style)," Ph.D. dissertation, Regina, Saskatchewan: University of regina, Computer Science Faculty of Graduate Studies, 1995.
20. C. Blake, E. Keogh, and C. J. Merz, UCI repository of machine learning databases. University of California, Irvine, Department of Information and Computer Sciences, Available: http://www.ics.uci.edu/~mlearn /MLRepository.html, 1998.