Inference Algorithms for Systems of Medical Diagnosis Aid based on Bayesian Networks
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
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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INFOCOMP: Jornal de Ciência da Computação |
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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 |
_version_ |
1799874740824834048 |