Genetic algorithm enhanced fuzzy cognitive maps for medical diagnosis

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 2123-2128

  Stylios, Chrysostomos D ^a   Georgopoulos, Voula C ^b  

^a Epirus Institute of Technology Arta   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ALGORITHMS; ARTIFICIAL INTELLIGENCE; COGNITIVE SYSTEMS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; DIAGNOSIS; DIESEL ENGINES; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; GENETIC ALGORITHMS; LARGE SCALE SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; MEDICINE; OPTICAL PROJECTORS; PROBLEM SOLVING;

ALGORITHM ENHANCED; COMPLEX DECISIONS; DIFFERENTIAL DIAGNOSES; FUZZY COGNITIVE MAPS; HYBRID MODELING; LANGUAGE IMPAIRMENTS; MAKING PROCESSES; MEDICAL DECISION SUPPORT SYSTEMS; MEDICAL DIAGNOSES;

CONFORMAL MAPPING;

EID: 55249096695     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630663     Document Type: Conference Paper

References (24)

1. B. Kosko, "Fuzzy cognitive maps," International Journal of ManMachine Studies, Vol. 24, pp.65-75, 1986.
2. V. C. Georgopoulos, G. A. Malandraki, and C.D. Stylios, "A fuzzy cognitive map approach to differential diagnosis of specific language impairment," Journal of Artificial Intelligence in Medicine, Vol. 29, 2003, pp. 261-278.
3. E. Papageorgiou , C. Stylios, and P. Groumpos, "An integrated two-level hierarchical system for decision making in radiation therapy using fuzzy cognitive maps," IEEE Transactions on Biomedical Engineering, Vol. 50, 2003, pp.1326-1339.
4. M. Sprogar, M. Lenic and S. Alayon, "Evolution in medical decision-making," Journ of Medical Systems, Vol. 26, No. 5, 2002, pp. 479-89.
5. V. C. Georgopoulos and C. D. Stylios, "Augmented fuzzy cognitive maps based on case based reasoning for decisions in medical informatics," Proceedings BISC FLINT-CIBI 2003 International joint workshop on Soft Computing for Internet and Bioinformatics, 15-19 December 2003, University of California, Berkeley, California, USA.
6. V. C. Georgopoulos and C. D. Stylios. "Augmented fuzzy cognitive maps supplemented with case based reasoning for advanced medical decision support," Soft Computing for Information Processing and Analysis Enhancing the Power of the Information Technology. M. Nikravesh, L. A Zadeh, J. Kacprzyk (Eds), 2004.
7. J. H. Holland, "Adaptation in natural and artificial systems", University of Michigan press; 1975.
8. D. E. Goldberg, "Genetic algorithms: search, optimization and machine learning", Addison-Wesley; 1989.
9. C. Z. Janikow and Z. Michalewicz. Experimental comparison of binary and floating point representations in genetic algorithms. 1991. San Diego, CA, USA: Publ by Morgan-Kaufmann Publ, Inc., Palo Alto, CA, USA.
10. D. Whitley, "A Genetic Algorithm Tutorial", Statistics and Computing Vol. 4, 1994, pp.65-85.
11. W. Stach, L. Kurgan, W. Pedrycz, and M.Reformat, "Genetic Learning of Fuzzy Cognitive Maps," Fuzzy Sets and Systems, vol. 153, no.3, 2005, pp.371-401.
12. W. Stach, L. Kurgan, W. Pedrycz, and M.Reformat, "Learning Fuzzy Cognitive Maps with Required Precision Using Genetic Algorithm Approach," Electronics Letters, vol.40, no.24, 2004, pp.1519-1520.
13. W. Stach, L. Kurgan, and W. Pedrycz,"A Survey of Fuzzy Cognitive Map Learning Methods," In: Grzegorzewski, P., Krawczak, M., Zadrozny, S., (Eds.), Issues in Soft Computing: Theory and Applications, 2005, pp. 71-84.
14. W. Stach, L. Kurgan, and W. Pedrycz, "Parallel Learning of Large Fuzzy Cognitive Maps," International Joint Conference on Neural Networks (IJCNN 2007), August 12-17, 2007, Orlando, Florida, USA.
15. W. Stach, L. Kurgan, W. Pedrycz, and M.Reformat, "Evolutionary Development of Fuzzy Cognitive Maps," Proceedings of the 14th International Conference on Fuzzy Systems (FUZZ-IEEE 2005), pp.619-624, Reno, Nevada, USA.
16. Dybowski, R., Weller, P., Chang, R., and Gant, V. Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm. Lancet, Vol. 347, 1996 pp.1146-1150.
17. S. Vinterbo, L. Ohno-Machado, "A genetic algorithm Approach to multidisorder diagnosis," Artificial Intelligence in Medicine, Vol. 18, 2000, pp. 117-132.
18. H. Liang, Z. Lina and R. W. McCalluma, "Application of combined genetic algorithms with cascade correlation to diagnosis of delayed gastric emptying from electrogastrograms," Medical Engineering & Physics, Vol. 22, 2000, pp 229-234.
19. K. C. Tan, Q. Yu, C. M. Heng, and T. H. Lee, "Evolutionary computing for knowledge discovery in medical diagnosis," Artificial Intelligence in Medicine, Vol. 27, 2003, pp. 129-154.
20. P.Tallal, R. Stark, and E. Mellitis, "Identification of language-impaired children on the basis of rapid perception and production skills," Brain and Language, Vol.25, 1985. pp.351-357.
21. E. Krasswski and E. Plante,"IQ variability in children with SLI: implications for use of cognitive referencing in determining SLI," J. of Communication Disorders. 1997, Vol.30, pp.1-9.
22. L. B. Leonard, Children with specific language impairment, MIT Press, Cambridge 2000.
23. A. G. Kamhi and H.W. Catts, "Toward an understanding of developmental language and reading disorders," Journal of Speech and Hearing Disorders, Vol.51, 1986 pp. 337-347.
24. NICHCY, Reading and learning disabilities, briefing paper (FS17), 4th edition. Washington: National Dissemination Center for Children with Disabilities, 2004.