Patients' admissions in intensive care units: A clustering overview

doi:10.1109/CBI.2016.48

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52196

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Campo DC	Valor	Idioma
dc.contributor.author	Ribeiro, Ana	por
dc.contributor.author	Portela, Filipe	por
dc.contributor.author	Santos, Manuel Filipe	por
dc.contributor.author	Machado, José Manuel	por
dc.contributor.author	Abelha, António	por
dc.contributor.author	Rua, Fernando	por
dc.date.accessioned	2018-03-13T11:16:07Z	-
dc.date.issued	2016-09-09	-
dc.identifier.citation	Ribeiro, 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). IEEE	por
dc.identifier.isbn	9781509032310	por
dc.identifier.issn	2378-1963	por
dc.identifier.uri	https://hdl.handle.net/1822/52196	-
dc.description.abstract	Intensive 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.sponsorship	FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013	por
dc.language.iso	eng	por
dc.publisher	Institute of Electrical and Electronics Engineers Inc.	por
dc.relation	info:eu-repo/grantAgreement/FCT/5876/147280/PT	por
dc.rights	restrictedAccess	por
dc.subject	Admissions	por
dc.subject	Clustering	por
dc.subject	Data mining	por
dc.subject	INTCare	por
dc.subject	Intensive care	por
dc.title	Patients' admissions in intensive care units: A clustering overview	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	-
dc.relation.publisherversion	http://ieeexplore.ieee.org/document/7781494/#full-text-section	por
oaire.citationStartPage	38	por
oaire.citationEndPage	44	por
oaire.citationVolume	2	por
dc.date.updated	2018-02-26T12:43:47Z	-
dc.identifier.doi	10.1109/CBI.2016.48	por
dc.subject.fos	Ciências Naturais::Ciências da Computação e da Informação	por
dc.description.publicationversion	info:eu-repo/semantics/publishedVersion	por
dc.subject.wos	Science & Technology	-
sdum.export.identifier	2960	-
sdum.journal	Conference on Business Informatics	por
sdum.conferencePublication	Proceedings - CBI 2016: 18th IEEE Conference on Business Informatics	-
sdum.bookTitle	2016 IEEE 18th Conference on Business Informatics (CBI)	por
Aparece nas coleções:	CAlg - Resumos em livros de atas/Abstracts in proceedings