Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52196

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dc.contributor.authorRibeiro, Anapor
dc.contributor.authorPortela, Filipepor
dc.contributor.authorSantos, Manuel Filipepor
dc.contributor.authorMachado, José Manuelpor
dc.contributor.authorAbelha, Antóniopor
dc.contributor.authorRua, Fernandopor
dc.date.accessioned2018-03-13T11:16:07Z-
dc.date.issued2016-09-09-
dc.identifier.citationRibeiro, A., Portela, F., Santos, M. F., Machado, J., Abelha, A., & Rua, F. (2016, August). Patients' Admissions in Intensive Care Units: A Clustering Overview. In Business Informatics (CBI), 2016 IEEE 18th Conference on (Vol. 2, pp. 38-44). IEEEpor
dc.identifier.isbn9781509032310por
dc.identifier.issn2378-1963por
dc.identifier.urihttp://hdl.handle.net/1822/52196-
dc.description.abstractIntensive Care is one of the most critical areas ofmedicine. Its multidisciplinary nature makes it a very wide area, requiring all types of healthcare professionals. Given the criticalenvironment of intensive care units, it becomes evident the need touse technology of decision support systems to improve healthcareservices and Intensive Care Units management. By discovering thecommon characteristics of the admitted patients it is possible toimprove these outcomes. In this study clustering techniques wereapplied to data collected from admitted patients in Intensive CareUnit. The best results presented a Silhouette of 1, with a distance tocentroids of 6.2e-17 and a Davies-Bouldin index of -0.652.por
dc.description.sponsorshipFCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013por
dc.language.isoengpor
dc.publisherInstitute of Electrical and Electronics Engineers Inc.por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147280/PTpor
dc.rightsrestrictedAccesspor
dc.subjectAdmissionspor
dc.subjectClusteringpor
dc.subjectData miningpor
dc.subjectINTCarepor
dc.subjectIntensive carepor
dc.titlePatients' admissions in intensive care units: A clustering overviewpor
dc.typeconferencePaperpor
dc.peerreviewedyes-
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7781494/#full-text-sectionpor
oaire.citationStartPage38por
oaire.citationEndPage44por
oaire.citationVolume2por
dc.date.updated2018-02-26T12:43:47Z-
dc.identifier.doi10.1109/CBI.2016.48por
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier2960-
sdum.journalConference on Business Informaticspor
sdum.conferencePublicationProceedings - CBI 2016: 18th IEEE Conference on Business Informatics-
sdum.bookTitle2016 IEEE 18th Conference on Business Informatics (CBI)por
Appears in Collections:CAlg - Resumos em livros de atas/Abstracts in proceedings

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