Title | Feature Selection Algorithms Applied to Parkinson's Disease |
Publication Type | Conference Paper |
Year of Publication | 2001 |
Authors | Navío, M., Aguilera José, del Jesus M. J., González R., Herrera F., and Iríbar C. |
Editor | Crespo, Jose, Maojo Victor, and Martin Fernando |
Conference Name | Medical Data Analysis |
Pagination | 195–200 |
Publisher | Springer Berlin Heidelberg |
Conference Location | Berlin, Heidelberg |
ISBN Number | 978-3-540-45497-7 |
Abstract | 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. |