title: A framework for automated evidence gathering with mobile systems using Bayesian Networks.
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.
authors.affiliation: Department of Electrical Engineering, University of Brasília, Brasília, DF 70910-900, Brazil. abjucg@gmail.com
authors.forename: A B
authors.initials: AB
authors.lastname: José
authors.forename: T M G de A
authors.initials: TM
authors.lastname: Barbosa
authors.forename: I G
authors.initials: IG
authors.lastname: Sene
authors.forename: A F
authors.initials: AF
authors.lastname: da Rocha
authors.forename: L S da S
authors.initials: LS
authors.lastname: Castro
authors.forename: F A de O
authors.initials: FA
authors.lastname: Nascimento
authors.forename: J L A
authors.initials: JL
authors.lastname: Carvalho
authors.forename: H S
authors.initials: HS
authors.lastname: Carvalho
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001499:Bayes Theorem; D003195:Computer Communication Networks; D034201:Computers, Handheld; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D018670:Monitoring, Ambulatory / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface