Feature Selection Algorithms Applied to Parkinson s Disease

Comunicación en congreso 2001

M. Navío, Jose Joaquin García, Maria José del Jesus Díaz, R. González, Francisco Herrera Triguero, C. Iríbar

Páginas 195-200

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Cómo citar esta publicación

Navío, M., García, J. J. A., del Jesus Díaz, M. J., González, R., Herrera Triguero, F., & Iríbar, C. (2001). Feature Selection Algorithms Applied to Parkinson s Disease (J. Crespo, V. Maojo, & F. Martin, Eds.). Berlin, Heidelberg: Springer Berlin Heidelberg.
BibTeX

Resumen

In Parkinson s Disease an analysis of Medical Data could highlight some symptoms, which can be used as a complementary tool in an early diagnosis. This paper analyses some Filter and Wrapper Feature Selection Algorithms and combinations of them that determine some relevant features in relation to this problem. The experimentation carried out with a data set of patients allows us to determine a set of different premorbid personality traits that can be considered in the early diagnosis of Parkinsonism.

Detalles

Editores
Jose Crespo, Victor Maojo, Fernando Martin
Editorial
Springer Berlin Heidelberg
Lugar del congreso
Berlin, Heidelberg
ISBN
978-3-540-45497-7