Descripción
|
|
---|---|
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 entropybased 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. | |
Internacional
|
Si |
ISSN o ISBN
|
978-3-642-02266-1 |
Entidad relacionada
|
|
Nacionalidad Entidad
|
Sin nacionalidad |
Lugar del congreso
|