Patients' admissions in intensive care units: A clustering overview
| 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.date.updated | 2018-02-26T12:43:47Z | |
| 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.publicationversion | info:eu-repo/semantics/publishedVersion | por |
| dc.description.sponsorship | FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013 | por |
| dc.distribution | international | |
| 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.doi | 10.1109/CBI.2016.48 | por |
| dc.identifier.isbn | 9781509032310 | por |
| dc.identifier.issn | 2378-1963 | por |
| dc.identifier.uri | https://hdl.handle.net/1822/52196 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | por |
| dc.relation | info:eu-repo/grantAgreement/FCT/5876/147280/PT | por |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7781494/#full-text-section | 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.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | por |
| dc.subject.wos | Science & Technology | |
| dc.title | Patients' admissions in intensive care units: A clustering overview | por |
| dc.type | conferencePaper | por |
| dspace.entity.type | Publication | en |
| oaire.citationEndPage | 44 | por |
| oaire.citationStartPage | 38 | por |
| oaire.citationVolume | 2 | por |
| sdum.bookTitle | 2016 IEEE 18th Conference on Business Informatics (CBI) | por |
| sdum.conferencePublication | Proceedings - CBI 2016: 18th IEEE Conference on Business Informatics | |
| sdum.export.identifier | 2960 | |
| sdum.journal | Conference on Business Informatics | por |