Emergency waiting times data analysis

dc.contributor.authorGonçalves, F.
dc.contributor.authorPereira, R.
dc.contributor.authorFerreira, J.
dc.contributor.authorVasconcelos, J. B.
dc.contributor.authorMelo, F.
dc.contributor.authorVelez, I.
dc.date.accessioned2018-09-14T09:47:00Z
dc.date.available2018-09-14T09:47:00Z
dc.date.issued2018
dc.date.updated2018-09-14T10:46:44Z
dc.description.abstractThe Emergency Departments (ED) are a complex and important area of a hospital. With limited resources, it is mandatory to focus on efficiency. When hospitals are unable to deal with high demand, problems may rise leading to longer waiting times and more dissatisfaction. In this research, the authors extracted knowledge from a hospital ED, through data analysis and data mining, applying Random Forest and Naïve Bayes to study the ED patient waiting time and diseases.eng
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.event.date2018
dc.identifier.issn1819-9224
dc.identifier.urihttp://hdl.handle.net/10071/16609
dc.journalIAENG International Journal of Computer Science
dc.language.isoeng
dc.number3
dc.pagination494 - 499
dc.peerreviewedyes
dc.publisherInternational Association of Engineers
dc.relationUID/MULTI/4466/2016
dc.relationUID/MULTI/0446/2013
dc.rightsopen access
dc.subjectBig dataeng
dc.subjectData miningeng
dc.subjectEmergency departmenteng
dc.subjectHealthcareeng
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.titleEmergency waiting times data analysiseng
dc.typearticle
dc.volume45
degois.publication.firstPage494
degois.publication.issue3
degois.publication.lastPage499
degois.publication.titleEmergency waiting times data analysiseng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85052501691
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-49750

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