Neural network classification of otoneurological data and its visualization

Computers in Biology and Medicine

Volumn 38, Issue 8, 2008, Pages 858-866

  Siermala, Markku ^a   Juhola, Martti ^b   Kentala, Erna ^c  

^a UNIVERSITY OF TAMPERE   (Finland)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

Author keywords

Classification; Data analysis; Neural networks; Otoneurology; Visualization

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA VISUALIZATION; IMAGE CLASSIFICATION; VEGETATION;

ADDITIONAL DATA; AVERAGE SENSITIVITY (AS); CLASS DISTRIBUTIONS; CLASSIFICATION ACCURACIES; COMPLEX DATA; NEURAL NETWORK CLASSIFICATION; NOVEL PROJECTION; PERCEPTRON NEURAL NETWORKS; POSITIVE PREDICTIVE VALUE (PPV); PROJECTION METHODS; VISUAL CLASSIFICATION;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPARATIVE STUDY; HUMAN; MATHEMATICAL COMPUTING; MENIERE DISEASE; PERCEPTRON; POSITIONAL VERTIGO; PREDICTION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUDDEN DEAFNESS; VERTIGO; VESTIBULAR DISORDER; VESTIBULAR NEURONITIS; VESTIBULAR SCHWANNOMA;

ALGORITHMS; EAR DISEASES; HUMANS; NERVOUS SYSTEM DISEASES; NEURAL NETWORKS (COMPUTER);

EID: 48349096032     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.05.002     Document Type: Article

References (15)

1. Astion M.L., and Wilding P. The application of backpropagation neural networks to problems in pathology and laboratory medicine. Arch. Pathol. Lab. Med. 116 (1992) 995-1001
2. Baxt W.G. Application of artificial neural networks to clinical medicine. Lancet 346 (1995) 1135-1138
3. Doyle H.R., Parmanto B., Munro P.W., Marino I.R., Aldrighetti L., Doria C., McMichael J., and Fung J.J. Building clinical classifiers using incomplete observations-a neural network ensemble for hepatoma detection in patients with cirrhosis. Methods Inform. Med. 34 (1995) 253-258
4. Hart A., and Wyatt J. Evaluating black-boxes as medical decision aids: issues arising from a study of neural networks. Med. Inform. 15 3 (1990) 229-236
5. Jerez-Aragonés J.M., Gómez-Ruiz J.A., Ramos-Jiménez G., Munoz-Pérez J., and Alba-Conejo E. A combined neural network and decision trees model for prognosis of breast cancer relapse. Artif. Intell. Med. 27 (2003) 45-63
6. M. Juhola, K. Viikki, J. Laurikkala, I. Pyykkö, E. Kentala, On classification capability of neural networks: a case study with otoneurological data, in: Proceedings of 10th World Congress on Health and Medical Informatics, London, 2001, IOS Press, Amsterdam, pp. 474-418.
7. M. Juhola, J. Laurikkala, Increasing accuracy of neural network classification with principal component analysis for otoneurological and female urinary incontinence data, in: CD-ROM of XVIIIth International Congress of the European Federation for Medical Informatics, Saint Malo, France, 2003, IOS Press, Amsterdam, 6pp.
8. Kentala E. Characteristics of six otologic diseases involving vertigo. Am. J. Otol. 17 (1996) 883-892
9. Laurikkala J., Kentala E., Juhola M., Pyykkö I., and Lammi S. Usefulness of imputation for the analysis of incomplete otoneurological data. Int. J. Med. Inform. 58-59 (2001) 235-242
10. Viikki K., Juhola M., Pyykkö I., and Honkavaara P. Evaluating training data suitability for decision tree induction. J. Med. Syst. 25 (2001) 133-144
11. Autio L., Juhola M., and Laurikkala J. On the neural network classification of medical data and an endeavour to balance non-uniform data sets with artificial data extension. Comput. Biol. Med. 37 (2007) 388-397
12. Swingler K. Applying Neural Networks, A Practical Guide (1996), Academic Press, London
13. Kentala E., Pyykkö I., Auramo Y., and Juhola M. Otoneurological expert system. Ann. Otol. Rhinol. Laryn. 105 (1996) 654-658
14. Siermala M., and Juhola M. Techniques for biased data distributions and variable classification with neural networks applied to otoneurological data. Comput. Methods Prog. Biomed. 81 (2006) 128-136
15. Sammon J.W. A nonlinear mapping for data structure analysis. IEEE Trans. Comput. 18 (1969) 401-409