Title :
A Framework for Automated Evidence Gathering with Mobile Systems Using Bayesian Networks
Author :
Jose, A.B. ; de A Barbosa, T.M.G. ; Sene, I.G. ; da Rocha, A.F. ; da S Castro, L.S. ; de O Nascimento, F.A. ; Carvalho, J.L.A. ; Carvalho, H.S.
Author_Institution :
Univ. of Brasilia, Brasilia
Abstract :
This article presents a framework that allows the automated gathering of medical evidence, using a methodology based on Bayesian networks (BN). For such purpose, system software and a programming methodology were developed. The proposed methodology is generic and can be applied to different contexts (application domains) were evidence gathering is executed in mobile devices.
Keywords :
belief networks; health care; medical computing; mobile computing; patient monitoring; Bayesian networks; automated evidence gathering; human health monitoring; mobile devices; programming methodology; system software; Application software; Bayesian methods; Biomedical monitoring; Decision theory; Humans; Java; Medical diagnostic imaging; Space technology; System software; Uncertainty; Bayesian Networks (BN); Java technology; breadth-first search; symptomatological interrogatory; Algorithms; Artificial Intelligence; Bayes Theorem; Computer Communication Networks; Computers, Handheld; Diagnosis, Computer-Assisted; Monitoring, Ambulatory; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353130
