Predictive analysis in healthcare: emergency wait time prediction

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.accessioned2018-12-05T16:06:12Z
dc.date.available2018-12-05T16:06:12Z
dc.date.issued2019
dc.description.abstractEmergency departments are an important area of a hospital, being the major entry point to the healthcare system. One of the most important issues regarding patient experience are the emergency department waiting times. In order to help hospitals improving their patient experience, the authors will perform a study where the Random Forest algorithm will be applied to predict emergency department waiting times. Using data from a Portuguese hospital from 2013 to 2017, the authors discretized the emergency waiting time in 5 different categories: “Really Low”, “Low”, “Average”, “High”, “Really High”. Plus, the authors considered as waiting time, the time from triage to observation. The authors expect to correctly evaluate the proposed classification algorithm efficiency and accuracy in order to be able to conclude if it is valuable when trying to predict ED waiting times.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.date2018
dc.event.locationToledoeng
dc.event.typeConferênciapt
dc.identifier.doi10.1007/978-3-030-01746-0_16
dc.identifier.isbn978-303001745-3
dc.identifier.issn2194-5357
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-52079
dc.identifier.urihttp://hdl.handle.net/10071/16840
dc.journal9th International Symposium on Ambient Intelligence, ISAmI 2018
dc.language.isoeng
dc.pagination138 - 145
dc.peerreviewedyes
dc.publisherSpringer
dc.relationUID/MULTI/0446/2013
dc.rightsopen access
dc.subjectBig dataeng
dc.subjectEmergency departmenteng
dc.subjectHealthcareeng
dc.subjectPredictive analyticseng
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
dc.titlePredictive analysis in healthcare: emergency wait time predictioneng
dc.typeconferenceObject
dc.volume806
degois.publication.firstPage138
degois.publication.lastPage145
degois.publication.locationToledoeng
degois.publication.titlePredictive analysis in healthcare: emergency wait time predictioneng
dspace.entity.typePublicationen

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