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INTCare: On-line knowledge discovery in the intensive care unit

2009-04Conference paper Restricted access
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dc.contributor.authorGago, Pedro
dc.contributor.authorFernandes, C.
dc.contributor.authorPinto, Filipe
dc.contributor.authorSantos, M.F.
dc.date.accessioned2025-05-16T17:04:55Z
dc.date.available2025-05-16T17:04:55Z
dc.date.issued2009-04
dc.descriptionArticle number 4924755, 2009 International Conference on Intelligent Engineering Systems, INES 2009, 16 April 2009 through 18 April 2009 - Code 77669
dc.description.abstractIn our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors.eng
dc.description.sponsorshipThe authors would like to thank Fundação para a Ciência e Tecnologia that supported part of this work (grant SFRH BD 28840 2006). Financial support for this study was received from the FCT project PTDC/EIA/72819/2006 and from the Algoritmi research center.
dc.identifier.citationP. Gago, C. Fernandes, F. Pinto and M. F. Santos, "INTCare: On-line knowledge discovery in the intensive care unit," 2009 International Conference on Intelligent Engineering Systems, Barbados, 2009, pp. 159-164, doi: https://doi.org/10.1109/INES.2009.4924755.
dc.identifier.doi10.1109/ines.2009.4924755
dc.identifier.isbn978-1-4244-4111-2
dc.identifier.issn1543-9259
dc.identifier.urihttp://hdl.handle.net/10400.8/12913
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationSISTEMAS DE INFORMAÇÃO INTELIGENTES BASEADOS NA DESCOBERTA DE CONHECIMENTO EM BASES DE DADOS
dc.relationINTCARE - Intelligent Decision Support System for Intensive Care
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/4924755
dc.relation.ispartof2009 International Conference on Intelligent Engineering Systems
dc.rights.uriN/A
dc.subjectMedical diagnostic imaging
dc.subjectDecision making
dc.subjectDecision support systems
dc.subjectMedical expert systems
dc.subjectIntelligent systems
dc.subjectData acquisition
dc.subjectHumans
dc.subjectQuality of service
dc.subjectUsability
dc.subjectDatabases
dc.titleINTCare: On-line knowledge discovery in the intensive care uniteng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleSISTEMAS DE INFORMAÇÃO INTELIGENTES BASEADOS NA DESCOBERTA DE CONHECIMENTO EM BASES DE DADOS
oaire.awardTitleINTCARE - Intelligent Decision Support System for Intensive Care
oaire.awardURIhttp://hdl.handle.net/10400.8/12888
oaire.awardURIhttp://hdl.handle.net/10400.8/12887
oaire.citation.conferenceDate2009-04
oaire.citation.conferencePlaceBarbados
oaire.citation.endPage164
oaire.citation.startPage159
oaire.citation.titleInternational Conference on Intelligent Engineering Systems (INES)
oaire.fundingStreamPIDDAC
oaire.fundingStream5876-PPCDTI
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGago
person.familyNameMota Pinto
person.givenNamePedro
person.givenNameFilipe
person.identifier.orcid0000-0003-3404-9657
person.identifier.orcid0000-0001-7634-0296
relation.isAuthorOfPublicationda8a69f8-5112-4415-b79b-bc9e2ed28131
relation.isAuthorOfPublication908ef8f4-823a-41fd-8184-287f872b943c
relation.isAuthorOfPublication.latestForDiscoveryda8a69f8-5112-4415-b79b-bc9e2ed28131
relation.isProjectOfPublication92a5a94c-9957-4dc8-b31e-c8aaeabf057f
relation.isProjectOfPublication13e85ba1-89fc-4101-9e99-d777a0b7225b
relation.isProjectOfPublication.latestForDiscovery92a5a94c-9957-4dc8-b31e-c8aaeabf057f

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In our work aim to automate the knowledge discovery process. In this paper we present the INTCare system, an intelligent decision support system for intensive care medicine. INTCare is an agent based system that has (autonomous) agents responsible both for data acquisition and model updating thus reducing the need for human intervention. In the present, INTCare is predicting organ failure and probability of in-hospital death. Reliable prediction results facilitate a change from the current reactive behavior to a pro-active one thus enhancing the quality of service. The functional and structural aspects are presented as are some results obtained using data collected from the bedside monitors.
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