Modified mixture of experts for diabetes diagnosis

Journal of Medical Systems

Volumn 33, Issue 4, 2009, Pages 299-305

  Übeyli, Elif Derya ^a  

^a TOBB UNIVERSITY OF ECONOMICS AND TECHNOLOGY   (Turkey)

Author keywords

Automated diagnostic systems; Decision support system; Diabetes diagnosis; Modified mixture of experts

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; DECISION SUPPORT SYSTEM; DIABETES MELLITUS; DIAGNOSTIC ACCURACY; EXPERT SYSTEM; HUMAN; MODIFIED MIXTURE OF EXPERT; RISK FACTOR;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; DECISION SUPPORT TECHNIQUES; DIABETES MELLITUS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; INDIANS, NORTH AMERICAN; LIKELIHOOD FUNCTIONS; NEURAL NETWORKS (COMPUTER); RISK FACTORS; SENSITIVITY AND SPECIFICITY;

EID: 67650653722     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-008-9191-3     Document Type: Article

References (19)

1. R. A. Jacobs M. I. Jordan S. J. Nowlan G. E. Hinton 1991 Adaptive mixtures of local experts Neural Comput. 3 1 79 87
2. K. Chen L. Xu H. Chi 1999 Improved learning algorithms for mixture of experts in multiclass classification Neural Netw. 12 9 1229 1252 (Pubitemid 29475154)
3. X. Hong C. J. Harris 2002 A mixture of experts network structure construction algorithm for modelling and control Appl. Intell. 16 1 59 69 (Pubitemid 34148040)
4. M. I. Jordan R. A. Jacobs 1994 Hierarchical mixture of experts and the EM algorithm Neural Comput. 6 2 181 214
5. E. D. Übeyli 2008 Wavelet/mixture of experts network structure for EEG signals classification Expert Syst. Appl. 34 3 1954 1962 (Pubitemid 350298216)
6. E. D. Übeyli 2007 Comparison of different classification algorithms in clinical decision-making Expert Syst. 24 1 17 31 (Pubitemid 46121897)
7. K. Chen 1998 A connectionist method for pattern classification with diverse features Pattern Recognit. Lett. 19 7 545 558 (Pubitemid 128383198)
8. M. S. Shanker 1996 Using neural networks to predict the onset of diabetes mellitus J. Chem. Inf. Comput. Sci. 36 35 41 (Pubitemid 126579131)
9. C. P. Lim R. F. Harrison R. L. Kennedy 1997 Application of autonomous neural network systems to medical pattern classification tasks Artif. Intell. Med. 11 215 239 (Pubitemid 27505352)
10. J. Park D. W. Edington 2001 A sequential neural network model for diabetes prediction Artif. Intell. Med. 23 277 293 (Pubitemid 33009454)
11. E. D. Übeyli 2006 Combining neural network models for automated diagnostic systems J. Med. Syst. 30 6 483 488 (Pubitemid 44900148)
12. E. D. Übeyli 2005 A mixture of experts network structure for breast cancer diagnosis J. Med. Syst. 29 5 569 579 (Pubitemid 41203634)
13. E. D. Übeyli 2008 Implementing wavelet transform/mixture of experts network for analysis of electrocardiogram beats Expert Syst. 25 2 150 162 (Pubitemid 351607346)
14. Haykin, S., Neural networks: A Comprehensive Foundation. Macmillan, New York, 1994.
15. B. B. Chaudhuri U. Bhattacharya 2000 Efficient training and improved performance of multilayer perceptron in pattern classification Neurocomputing 34 11 27 (Pubitemid 30657700)
16. The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus 2002 Report of the expert committee on the diagnosis and classification of diabetes mellitus Diabetes Care 25 Supplement 1 S5 S20
17. M. M. Engelgau 2004 Diabetes diagnostic criteria and impaired glycemic states: evolving evidence base Clin. Diabetes 22 2 69 70
18. Besser, G. M., Bodansky, H. J., and Cudworth, A. G., Clinical diabetes an illustrated text. Gower Medical Publishing, London, 1988.
19. Pima Indians diabetes database. http://www.cormactech.com/neunet