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Rule Evolving System for Knee Lesion Prognosis from Medical Isokinetic Curves

  • Jorge Couchet
  • José María Font
  • Daniel Manrique
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5602)

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.

Keywords

Isokinetic curves medical time series grammar-guided genetic programming data-mining evolutionary gradient 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jorge Couchet
    • 1
  • José María Font
    • 1
  • Daniel Manrique
    • 1
  1. 1.Departamento de Inteligencia Artificial, Facultad de InformáticaUniversidad Politécnica de MadridMadridSpain

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