Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/52458

Full metadata record
DC FieldValueLanguage
dc.contributor.authorNeves, Josépor
dc.contributor.authorAbelha, Vasco António Pinheiro Costapor
dc.contributor.authorVicente, Henriquepor
dc.contributor.authorNeves, Joãopor
dc.contributor.authorMachado, José Manuelpor
dc.date.accessioned2018-03-15T11:23:18Z-
dc.date.issued2016-
dc.identifier.citationNeves, J., Abelha, V., Vicente, H., Neves, J., & Machado, J. (2016). Length of Hospital Stay and Quality of Care. In Knowledge, Information and Creativity Support Systems (pp. 273-287). Springer, Cham.por
dc.identifier.isbn978-3-319-27477-5-
dc.identifier.issn2194-5357por
dc.identifier.urihttp://hdl.handle.net/1822/52458-
dc.description.abstractThe relationship between Length Of hospital Stay (LOS) and Quality-of- Care (QofC) is demanding and difficult to assess. Indeed, a multifaceted intertwining network of countless services and LOS factors is available, which may range from organizational culture to hospital physicians availability, without discarding the possibility of lifting the foot on intermediate care services, to the customs and cultures of the people. On health policy terms, LOS remains a measurable index of efficiency, and most of the studies that have been undertaken show that QoC or health outcomes do not appear to be compromised by reductions in LOS times. Therefore, and in order to assess this statement, a Logic Programming based methodology to Knowledge Representation and Reasoning, allowing the modeling of the universe of discourse in terms of defective data, information and knowledge is used, being complemented with an Artificial Neural Networks based approach to computing, allowing one to predict for how long a patient should remain in a hospital or at home, during his/her illness experience.por
dc.description.sponsorshipFCT Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project PEst-OE/EEI/UI0752/2014por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsrestrictedAccesspor
dc.subjectArtificial neural networkspor
dc.subjectKnowledge representation and reasoningpor
dc.subjectLength of hospital staypor
dc.subjectLogic programmingpor
dc.titleLength of hospital stay and quality of carepor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/book/10.1007/978-3-319-27478-2por
oaire.citationStartPage273por
oaire.citationEndPage287por
oaire.citationVolume416por
dc.date.updated2018-03-01T13:53:10Z-
dc.identifier.doi10.1007/978-3-319-27478-2_19por
dc.identifier.esbn978-3-319-27478-2-
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier3115-
sdum.journalAdvances in Intelligent Systems and Computingpor
sdum.conferencePublicationKnowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing. KICSS’2014 - 9th International Conferencepor
Appears in Collections:CAlg - Livros e capítulos de livros/Books and book chapters

Files in This Item:
File Description SizeFormat 
2016_KICSS_2014.pdf
  Restricted access
627,83 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID