A PSO-based rule extractor for medical diagnosis

Journal of Biomedical Informatics

Volumn 49, Issue , 2014, Pages 53-60

  Hsieh, Yi Zeng ^a,b,d   Su, Mu Chun ^a   Wang, Pa Chun ^c  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^b SHIH CHIEN UNIVERSITY   (Taiwan)

^c CATHAY GENERAL HOSPITAL   (Taiwan)

^d SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Fuzzy systems; Neural networks; Pattern recognition; PSO; Rule extraction

Indexed keywords

DIAGNOSIS; DISEASES; FUZZY SYSTEMS; MEDICAL COMPUTING; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION;

BREAST CANCER DATA; COMPOSITE NEURAL NETWORKS; MEDICAL DATABASE; PARKINSON'S DISEASE; POSITIVE EXAMPLES; PSO; RULE EXTRACTION; SYNAPTIC WEIGHT;

BENCHMARKING;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; DATA BASE; DATA EXTRACTION; FUZZY SYSTEM; HYPER RECTANGULAR COMPOSITE NEURAL NETWORK; LIVER DISEASE; PARKINSON DISEASE; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION BASED FUZZY HYPER RECTANGULAR COMPOSITE NEURAL NETWORK; PATTERN RECOGNITION; PRIORITY JOURNAL; COMPUTER SIMULATION; DIAGNOSIS; FUZZY LOGIC; HUMAN; NERVE CELL NETWORK;

COMPUTER SIMULATION; DIAGNOSIS; FUZZY LOGIC; HUMANS; NERVE NET;

EID: 84902553754     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2014.05.001     Document Type: Article

References (19)

1. Haykin S. Neural networks and learning machines 2009, Prentice Hall. 3rd ed.
2. Salzberg S.L. Learning with nested generalized exemplars 1990, Kluwer, Academic, [foreword by W. A. Woods].
3. Lin C.-T., Lee C.S.G. Neural-network-based fuzzy logic control and decision system. IEEE Trans Comput 1991, 40(12):1320-1336.
4. Simpson P.K. Fuzzy min-max neural networks-Part 1: Classification. IEEE Trans Neural Network 1992, 3:776-786.
5. Roger Jang J.S. ANFIS: adaptive-network-based fuzzy inference systems. IEEE Trans Syst Man Cybern 1993, 23(3):665-685.
6. Su M.C. Use of neural networks as medical diagnosis expert systems. Comput Biol Med 1994, 24(6):419-429.
7. Abe S., Lan M.-S. A method for fuzzy rules extraction directly from numerical data and its application to pattern classification. IEEE Trans Fuzzy Syst 1995, 3(1):18-28.
8. Kennedy J, Eberhart R. Particle swarm optimization. In: IEEE international conference on neural networks, 4, December; 1995. p. 1942-8.
9. Eberhart R, Kennedy J. A new optimizer using particle swarm theory. In: Proceedings of the sixth international symposium on micro machine and human science, October; 1995. p. 39-43.
10. Kennedy J., Eberhart R.C., Shi Y. Swarm intelligence 2001, Academic Press, New York.
11. Carpenter G., Grossberg S., Markuzon N., Reynolds J., Rosen D. Fuzzy ARTMAP: a neural network architecture for incremental supervised learning of analog multidimensional maps. IEEE Trans Neural Networks 1992, 3:698-713.
12. Su M.-C. Identification of singleton fuzzy models via fuzzy hyperrectangular composite NN. Fuzzy model identification-selected approach 1997, 193-212. Springer-Verlag, Berlin, Germany. H. Hellendoorn, D. Driankov (Eds.).
13. Su M.C., Hsieh C.T., Chin C.C. A neuro-fuzzy approach to speech recognition without time alignment. Fuzzy Sets Syst 1998, 98(1):33-41.
14. Su M.C. A fuzzy rule-based approach to spatio-temporal hand gesture recognition. IEEE Trans Syst Man Cybern Part C: Appl Rev 2000, 30(2):276-281.
15. Blake CL, Merz CJ. UCI repository of machine learning databases; 1998. <>. http://www.ics.uci.edu/~mlearn/MLRepository.html.
16. Lim T.S., Loh W.Y., Shih Y.S. Comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Mach Learn 2000, 40:203-229.
17. Ramani R.G., Sivagami G. Parkinson disease classification using data mining algorithms. Int J Comput Appl 2011, 32(9):17-22.
18. Giotis I., Petkov N. Cluster-based adaptive metric classification. Neurocomputing 2012, 81:33-40.
19. Su M.C., Wang P.C., Yang Y.S. A new approach to artificial immune systems and its application in constructing on-line learning neuro-fuzzy systems. Open Artif Intell J 2008, 2:1-10.