Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/34232

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dc.contributor.authorOliveira, T.por
dc.contributor.authorNeves, Josépor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorSatoh, Kenpor
dc.date.accessioned2015-03-06T10:14:30Z-
dc.date.available2015-03-06T10:14:30Z-
dc.date.issued2014-
dc.identifier.citationOliveira T., Neves J., Novais P., Satoh K., Applying Speculative Computation to Guideline-based Decision Support Systems, 27th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2014), New York, USA, IEEE, pp 42-47, 2014.por
dc.identifier.isbn9781479944354por
dc.identifier.issn1063-7125-
dc.identifier.urihttp://hdl.handle.net/1822/34232-
dc.description.abstractClinical Practice Guidelines, as evidence-based recommendations are the ideal support for Clinical Decision Support Systems. The intricacies of a guideline execution tool are related with the establishment of a care flow with an appropriate order between procedures and the modelling of decision points. One of such decision points is the choice between alternative tasks based on trigger conditions regarding a patient's state. It may be the case that, when there is the need to choose one of the alternative tasks, the system does not possess all the required information to do so, thus rendering impossible to reach an outcome. Speculative Computation and Abduction may increase the efficiency of this process by allowing the system to advance the computation of a solution, even while it is waiting for a response from the information sources. This work provides the basis for a Speculative Computation framework able to cope with decisions of clinical care flows. The methods developed herein were devised to support practitioners and to improve patient-centred medicine by providing maps of the most likely evolution of a patient, even when the information is incomplete.por
dc.description.sponsorshipThis work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT ( Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst-OE/EEI/UI0752/2014. The work of Tiago Oliveira is supported by a doctoral grant by FCT (SFRH/BD/85291/2012).por
dc.language.isoengpor
dc.publisherIEEEpor
dc.rightsopenAccesspor
dc.subjectComputer-Interpretable Guiddelinespor
dc.subjectDecision Supportpor
dc.subjectSpeculative Computationpor
dc.subjectAbductive Reasoningpor
dc.subjectClinical Decision Supportpor
dc.subjectComputer-Interpretable Guidelinespor
dc.titleApplying Speculative Computation to Guideline-based Decision Support Systemspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6881845por
sdum.publicationstatuspublishedpor
oaire.citationStartPage42por
oaire.citationEndPage47por
oaire.citationTitle2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS)por
dc.identifier.doi10.1109/CBMS.2014.32por
dc.subject.wosScience & Technologypor
sdum.journalProceedings - IEEE Symposium on Computer-Based Medical Systemspor
sdum.conferencePublication2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS)por
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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