Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/30782

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dc.contributor.authorPortela, Filipepor
dc.contributor.authorSantos, Manuel Filipepor
dc.contributor.authorMachado, José Manuelpor
dc.contributor.authorAbelha, Antóniopor
dc.contributor.authorSilva, Álvaropor
dc.contributor.authorRua, Fernandopor
dc.date.accessioned2014-11-06T14:48:32Z-
dc.date.available2014-11-06T14:48:32Z-
dc.date.issued2014-
dc.identifier.isbn978-3-319-10264-1-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1822/30782-
dc.descriptionSeries : Lecture notes in computer science (LNCS), vol. 8649por
dc.description.abstractIn the Intensive Care Units (ICU) it is notorious the high number of data sources available. This situation brings more complexity to the way of how a professional makes a decision based on information provided by those data sources. Normally, the decisions are based on empirical knowledge and common sense. Often, they don’t make use of the information provided by the ICU data sources, due to the difficulty in understanding them. To overcome these constraints an integrated and pervasive system called INTCare has been deployed. This paper is focused in presenting the system architecture and the knowledge obtained by each one of the decision modules: Patient Vital Signs, Critical Events, ICU Medical Scores and Ensemble Data Mining. This system is able to make hourly predictions in terms of organ failure and outcome. High values of sensitivity where reached, e.g. 97.95% for the cardiovascular system, 99.77% for the outcome. In addition, the system is prepared for tracking patients’ critical events and for evaluating medical scores automatically and in real-time.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherSpringer por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/72819/PT-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/126314/PT-
dc.rightsopenAccess-
dc.subjectPervasivepor
dc.subjectDecision supportpor
dc.subjectData Miningpor
dc.subjectINTCarepor
dc.subjectIntensive Medicinepor
dc.titlePervasive and intelligent decision support in Intensive Medicine – the complete picturepor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage87por
oaire.citationEndPage102por
oaire.citationConferencePlaceMunich, Germanypor
oaire.citationTitleInformation technology in bio- and medical informatics : 5th International Conference, ITBAM 2014, Munich, Germany, September 2, 2014 : proceedingspor
oaire.citationVolume8649 LNCSpor
dc.identifier.doi10.1007/978-3-319-10265-8_9por
sdum.journalLecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
sdum.conferencePublicationInformation technology in bio- and medical informatics : 5th International Conference, ITBAM 2014, Munich, Germany, September 2, 2014 : proceedingspor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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