Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks

Detalhes bibliográficos
Autor(a) principal: Sampaio, Rudini Menezes
Data de Publicação: 2008
Outros Autores: Valentim, Felipe Leal, de Souza, Leandro Alves, Silva, Ricardo Martins de Abreu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222
Resumo: Several scientific works have modeled medical problems with assistance of Bayesian networks, assisting doctors in the task of diagnosing a disease given the observed symptoms and evaluated exams. This paper aims to present the execution time and convergence analyses for exact and approximate algorithms for probabilistic inference, which allow to apply the Bayesian reasoning in the support to the medical diagnosis. The results of the analyses supply a criterion for the choice of the algorithm to be implemented depending on the resources that are wished to optimize.
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spelling Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian NetworksBayesian networksinference algorithmssystems for medical diagnosis aidSeveral scientific works have modeled medical problems with assistance of Bayesian networks, assisting doctors in the task of diagnosing a disease given the observed symptoms and evaluated exams. This paper aims to present the execution time and convergence analyses for exact and approximate algorithms for probabilistic inference, which allow to apply the Bayesian reasoning in the support to the medical diagnosis. The results of the analyses supply a criterion for the choice of the algorithm to be implemented depending on the resources that are wished to optimize.Editora da UFLA2008-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222INFOCOMP Journal of Computer Science; Vol. 7 No. 2 (2008): June, 2008; 84-891982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222/207Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessSampaio, Rudini MenezesValentim, Felipe Lealde Souza, Leandro AlvesSilva, Ricardo Martins de Abreu2015-06-27T23:52:44Zoai:infocomp.dcc.ufla.br:article/222Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:25.502198INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
title Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
spellingShingle Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
Sampaio, Rudini Menezes
Bayesian networks
inference algorithms
systems for medical diagnosis aid
title_short Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
title_full Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
title_fullStr Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
title_full_unstemmed Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
title_sort Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
author Sampaio, Rudini Menezes
author_facet Sampaio, Rudini Menezes
Valentim, Felipe Leal
de Souza, Leandro Alves
Silva, Ricardo Martins de Abreu
author_role author
author2 Valentim, Felipe Leal
de Souza, Leandro Alves
Silva, Ricardo Martins de Abreu
author2_role author
author
author
dc.contributor.author.fl_str_mv Sampaio, Rudini Menezes
Valentim, Felipe Leal
de Souza, Leandro Alves
Silva, Ricardo Martins de Abreu
dc.subject.por.fl_str_mv Bayesian networks
inference algorithms
systems for medical diagnosis aid
topic Bayesian networks
inference algorithms
systems for medical diagnosis aid
description Several scientific works have modeled medical problems with assistance of Bayesian networks, assisting doctors in the task of diagnosing a disease given the observed symptoms and evaluated exams. This paper aims to present the execution time and convergence analyses for exact and approximate algorithms for probabilistic inference, which allow to apply the Bayesian reasoning in the support to the medical diagnosis. The results of the analyses supply a criterion for the choice of the algorithm to be implemented depending on the resources that are wished to optimize.
publishDate 2008
dc.date.none.fl_str_mv 2008-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/222/207
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 7 No. 2 (2008): June, 2008; 84-89
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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