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Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/9882

Title: Inference algorithms for systems of medical diagnosis aid based on Bayesian networks
???metadata.dc.creator???: Sampaio, Rudini Menezes
Valentim, Felipe Leal
Souza, Leandro Alves de
Silva, Ricardo Martins de Abreu
Keywords: Bayesian networks
Inference algorithms
Systems for medical diagnosis aid
Redes Bayesianas
Algoritmos de inferência
Sistema de auxílio no diagnóstico médico
Publisher: Editora da UFLA
???metadata.dc.date???: 1-Jan-2008
Citation: SAMPAIO, R. M. et al. Inference algorithms for systems of medical diagnosis aid based on Bayesian networks. INFOCOMP: Journal of Computer Science, Lavras, v. 7, n. 2, p. 84-89, June 2008.
Abstract: 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.
Other Identifiers: http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/222
???metadata.dc.language???: eng
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