Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection

Detalhes bibliográficos
Autor(a) principal: Spadoto, Andre A.
Data de Publicação: 2011
Outros Autores: Guido, Rodrigo C., Carnevali, Felipe L., Pagnin, Andre F. [UNESP], Falcao, Alexandre X., Papa, Joao P. [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/195994
Resumo: Parkinson's disease (PD) automatic identification has been actively pursued over several works in the literature. In this paper, we deal with this problem by applying evolutionary-based techniques in order to find the subset of features that maximize the accuracy of the Optimum-Path Forest (OPF) classifier. The reason for the choice of this classifier relies on its fast training phase, given that each possible solution to be optimized is guided by the OPF accuracy. We also show results that improved other ones recently obtained in the context of PD automatic identification.
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spelling Improving Parkinson's Disease Identification Through Evolutionary-Based Feature SelectionParkinson's disease (PD) automatic identification has been actively pursued over several works in the literature. In this paper, we deal with this problem by applying evolutionary-based techniques in order to find the subset of features that maximize the accuracy of the Optimum-Path Forest (OPF) classifier. The reason for the choice of this classifier relies on its fast training phase, given that each possible solution to be optimized is guided by the OPF accuracy. We also show results that improved other ones recently obtained in the context of PD automatic identification.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Sao Paulo, Inst Phys Sao Carlos, Sao Carlos, SP, BrazilUniv Fed Sao Carlos, Dept Comp, Sao Carlos, SP, BrazilUniv Estadual Campinas, Inst Comp, Campinas, SP, BrazilUNESP Univ Estadual Paulista, Dept Comp, Bauru, BrazilUNESP Univ Estadual Paulista, Dept Comp, Bauru, BrazilCNPq: 481556/2009-5CNPq: 303673/2010-9FAPESP: 2009/16206-1IeeeUniversidade de São Paulo (USP)Universidade Federal de São Carlos (UFSCar)Universidade Estadual de Campinas (UNICAMP)Universidade Estadual Paulista (Unesp)Spadoto, Andre A.Guido, Rodrigo C.Carnevali, Felipe L.Pagnin, Andre F. [UNESP]Falcao, Alexandre X.Papa, Joao P. [UNESP]IEEE2020-12-10T19:01:03Z2020-12-10T19:01:03Z2011-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject7857-78602011 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc). New York: Ieee, p. 7857-7860, 2011.1557-170Xhttp://hdl.handle.net/11449/195994WOS:00029881000533965420862268080670000-0002-0924-8024Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2011 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc)info:eu-repo/semantics/openAccess2024-04-23T16:11:19Zoai:repositorio.unesp.br:11449/195994Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-23T16:11:19Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
title Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
spellingShingle Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
Spadoto, Andre A.
title_short Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
title_full Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
title_fullStr Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
title_full_unstemmed Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
title_sort Improving Parkinson's Disease Identification Through Evolutionary-Based Feature Selection
author Spadoto, Andre A.
author_facet Spadoto, Andre A.
Guido, Rodrigo C.
Carnevali, Felipe L.
Pagnin, Andre F. [UNESP]
Falcao, Alexandre X.
Papa, Joao P. [UNESP]
IEEE
author_role author
author2 Guido, Rodrigo C.
Carnevali, Felipe L.
Pagnin, Andre F. [UNESP]
Falcao, Alexandre X.
Papa, Joao P. [UNESP]
IEEE
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Federal de São Carlos (UFSCar)
Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Spadoto, Andre A.
Guido, Rodrigo C.
Carnevali, Felipe L.
Pagnin, Andre F. [UNESP]
Falcao, Alexandre X.
Papa, Joao P. [UNESP]
IEEE
description Parkinson's disease (PD) automatic identification has been actively pursued over several works in the literature. In this paper, we deal with this problem by applying evolutionary-based techniques in order to find the subset of features that maximize the accuracy of the Optimum-Path Forest (OPF) classifier. The reason for the choice of this classifier relies on its fast training phase, given that each possible solution to be optimized is guided by the OPF accuracy. We also show results that improved other ones recently obtained in the context of PD automatic identification.
publishDate 2011
dc.date.none.fl_str_mv 2011-01-01
2020-12-10T19:01:03Z
2020-12-10T19:01:03Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2011 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc). New York: Ieee, p. 7857-7860, 2011.
1557-170X
http://hdl.handle.net/11449/195994
WOS:000298810005339
6542086226808067
0000-0002-0924-8024
identifier_str_mv 2011 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc). New York: Ieee, p. 7857-7860, 2011.
1557-170X
WOS:000298810005339
6542086226808067
0000-0002-0924-8024
url http://hdl.handle.net/11449/195994
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2011 Annual International Conference Of The Ieee Engineering In Medicine And Biology Society (embc)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 7857-7860
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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