Abstract
This paper proposes a system for applying data mining to a set of time series with medical information. The series represent an isokinetic curve that is obtained from a group of patients performing a knee exercise on an isokinetic machine. This system has two steps: the first one is to analyze the input time series in order to generate a simplified model of an isokinetic curve; the second step applies a grammar-guided genetic program including an evolutionary gradient operator and an entropy-based fitness function to obtain a set of rules for a knowledge-based system. This system performs medical prognosis for knee injury detection. The results achieved have been statistically compared to another evolutionary approach that generates fuzzy rule-based systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alonso, F., López-Illescas, A., Martínez, L., Montes, C., Caraca-Valente, J.: Analysis on strength data based on expert knowledge. In: Crespo, J.L., Maojo, V., Martin, F. (eds.) ISMDA 2001. LNCS, vol. 2199, pp. 35–41. Springer, Heidelberg (2001)
Alonso, F., Caraca-Valente, J., González, A., Montes, C.: Combining expert knowledge and data mining in a medical diagnosis domain. Expert Systems with Applications 23, 367–375 (2002)
Podgorelec, V., Kokol, P., Stiglic, M., Hericko, M., Rozman, I.: Knowledge discovery with classification rules in a cardiovascular dataset. Computer Methods and Programs in Biomedicine 80, S39–S49 (2005)
Ohsaki, M., Yokoi, H., Abe, M., Tsumoto, S., Yamaguchi, T.: Proposal of medical kdd support user interface utilizing rule interestingness measures. In: Proc. of Sixth IEEE International Conference on Data Mining, pp. 759–764 (2006)
Panait, L., Luke, S.: Alternative bloat control methods. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3103, pp. 630–641. Springer, Heidelberg (2004)
Couchet, J., Font, J.M., Manrique, D.: Using evolved fuzzy neural networks for injury detection from isokinetic curves. In: Proc. of the Twenty-Eighth SGAI International Conference, AI 2008, pp. 225–238 (2008)
Koza, J.: Genetic programming: on the programming of computers by means of natural selection. MIT Press, Cambridge (1992)
Whigham, P.: Grammatically-based genetic programming. In: Proc. of the Workshop on Genetic Programming: From Theory to Real-World Apps, pp. 33–41 (1995)
Couchet, J., Manrique, D., Ríos, J., Rodríguez-Patón, A.: Crossover and mutation operators for grammar-guided genetic programming. Soft Computing - A Fusion of Foundations, Methodologies and Applications 11(10), 943–955 (2007)
García-Arnau, M., Manrique, D., Ríos, J., Rodríguez-Patón, A.: Initialization method for grammar-guided genetic programming. Knowledge-Based Systems 20 (2), 127–133 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Couchet, J., Font, J.M., Manrique, D. (2009). Rule Evolving System for Knee Lesion Prognosis from Medical Isokinetic Curves. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Bioinspired Applications in Artificial and Natural Computation. IWINAC 2009. Lecture Notes in Computer Science, vol 5602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02267-8_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-02267-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02266-1
Online ISBN: 978-3-642-02267-8
eBook Packages: Computer ScienceComputer Science (R0)