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A neural-network-based model for the removal of biomedical equipment from a hospital inventory

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dc.creatorCruz, Antonio Miguelspa
dc.creatorRodríguez, Denis Ernestospa
dc.date.accessioned2020-08-19T14:42:58Z
dc.date.available2020-08-19T14:42:58Z
dc.date.created2006spa
dc.description.abstractThis article puts forward an accurate and robust model based on a artificial neural network that guarantees a warning when a piece of medical equipment requires replacement. A perceptron neural network composed by one input layer with two neurons is described. The artificial neural network can classify data in groups. In this research three groups were classified. These groups depend on numerical values of service cost/acquisition cost and usage time/useful life time ratios. A supervised learning rule to train the artificial neural network was selected. The training process was carried out by collecting typical data from 200 high-performance as well as 100 low-performance devices from four hospitals under study. The network was tested by collecting data (998 high-performance as well as 765 low-performance devices) in 4 hospitals. In 100 % of the cases the artificial neural network classified the equipment in the expected groups. It can be concluded that the network had a great level of data discrimination and an excellent performance level.eng
dc.format.mimetypeapplication/pdf
dc.identifier.issnISSN: 0363-8855
dc.identifier.issnEISSN: 1550-3275
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27609
dc.language.isoengspa
dc.publisherWolters Kluwer Healthspa
dc.relation.citationEndPage144
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage140
dc.relation.citationTitleJournal of Clinical Engineering
dc.relation.citationVolumeVol. 31
dc.relation.ispartofJournal of Clinical Engineering, ISSN: 0363-8855;EISSN: 1550-3275, Vol.31, No.3 (July-September 2006); pp. 140-144spa
dc.relation.urihttps://journals.lww.com/jcejournal/Abstract/2006/07000/A_Neural_Network_Based_Model_for_the_Removal_of.21.aspxspa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceJournal of Clinical Engineeringspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordArtificial neural networkspa
dc.subject.keywordGroupsspa
dc.titleA neural-network-based model for the removal of biomedical equipment from a hospital inventoryspa
dc.title.TranslatedTitleUn modelo basado en redes neuronales para la eliminación de equipos biomédicos del inventario de un hospitalspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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