Abstract
The paper is devoted to classification of laryngopathies on the basis of a family of coefficients reflecting spectrum disturbances around basic tones and their multiples in patients’ speech signals. In experiments, a special computer tool called BeliefSEEKER is tested. BeliefSEEKER is capable to generate belief networks and also to generate sets of belief rules. The paper presents feature selection and classification mechanisms as well as the experiments carried out on real-life data.
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References
Multi-Dimensional Voice Program (MDVP) (2011), http://www.kayelemetrics.com
Bazan, J.G., Nguyen, H.S., Nguyen, S.H., Synak, P., Wroblewski, J.: Rough set algorithms in classification problem. In: Polkowski, L., Tsumoto, S., Lin, T.Y. (eds.) Rough Set Methods and Applications, pp. 49–88. Physica-Verlag, Heidelberg (2000)
Bazan, J.G., Szczuka, M.S.: The Rough Set Exploration System. In: Peters, J.F., Skowron, A. (eds.) Transactions on Rough Sets III. LNCS, vol. 3400, pp. 37–56. Springer, Heidelberg (2005)
Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Chapman & Hall, Boca Raton (1993)
Cooper, F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning 9(4), 309–347 (1992)
Cowell, R., Dawid, A., Lauritzen, S., Spiegelhalter, D.: Probabilistic Networks and Expert Systems. Springer, New York (1999)
Grzymala-Busse, J.: A new version of the rule induction system LERS. Fundamenta Informaticae 31, 27–39 (1997)
Grzymała-Busse, J.W., Hippe, Z.S., Mroczek, T.: Deriving Belief Networks and Belief Rules from Data: A Progress Report. In: Peters, J.F., Skowron, A., Marek, V.W., Orłowska, E., Słowiński, R., Ziarko, W. (eds.) Transactions on Rough Sets VII. LNCS, vol. 4400, pp. 53–69. Springer, Heidelberg (2007)
Heckerman, D.: A tutorial on learning with bayesian networks. Tech. rep., Learning in Graphical Models (1996)
Hippe, Z.: Machine learning - a promising strategy for business information processing? In: Abramowicz, W. (ed.) Business Information Systems, pp. 603–622. Academy of Economics Editorial Office, Poznan (1997)
Hippe, Z., Mroczek, T.: Melanoma classification and prediction using belief networks. In: Kurzynski, M., Puchała, E., Wozniak, M. (eds.) Computer Recognition Systems, pp. 337–342. University of Technology Publishing Office, Wrocław (2003)
Paja, W., Pancerz, K., Wrzesień, M.: A New Hybrid Method of Generation of Decision Rules Using the Constructive Induction Mechanism. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds.) RSKT 2010. LNCS, vol. 6401, pp. 322–327. Springer, Heidelberg (2010)
Pancerz, K., Paja, W., Szkoła, J., Warchoł, J., Olchowik, G.: A rule-based classification of laryngopathies based on spectrum disturbance analysis - an exemplary study. In: Van Huffel, S., et al. (eds.) Proc. of the BIOSIGNALS 2012, Vilamoura, Algarve, Portugal, pp. 458–461 (2012)
Pancerz, K., Szkoła, J., Warchoł, J., Olchowik, G.: Spectrum disturbance analysis for computer-aided diagnosis of laryngopathies: An exemplary study. In: Proc. of the International Workshop on Biomedical Informatics and Biometric Technologies (BT 2011), Zilina, Slovak Republic (2011)
Pawlak, Z.: Rough Sets. Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
Quinlan, J.: C4.5. Programs for machine learning. Morgan Kaufmann Publishers (1993)
Semmlow, J.: Biosignal and Medical Image Processing. CRC Press (2009)
Szkoła, J., Pancerz, K., Warchoł, J.: Computer diagnosis of laryngopathies based on temporal pattern recognition in speech signal. Bio-Algorithms and Med-Systems 6(12), 75–80 (2010)
Szkoła, J., Pancerz, K., Warchoł, J.: Recurrent neural networks in computer-based clinical decision support for laryngopathies: An experimental study. Computational Intelligence and Neuroscience 2011, article ID 289398 (2011)
Warchoł, J.: Speech Examination with Correct and Pathological Phonation Using the SVAN 912AE Analyser. Ph.D. thesis, Medical University of Lublin (2006) (in Polish)
Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann (2005)
Wróblewski, J.: Genetic algorithms in decomposition and classification problem. In: Polkowski, L., Skowron, A. (eds.) Rough Sets in Knowledge Discovery 2, pp. 471–487. Physica-Verlag, Heidelberg (1998)
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Mroczek, T., Pancerz, K., Warchoł, J. (2012). Belief Networks in Classification of Laryngopathies Based on Speech Spectrum Analysis. In: Li, T., et al. Rough Sets and Knowledge Technology. RSKT 2012. Lecture Notes in Computer Science(), vol 7414. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31900-6_29
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DOI: https://doi.org/10.1007/978-3-642-31900-6_29
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