Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/31146

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dc.contributor.authorRodrigues, Brunopor
dc.contributor.authorGomes, Sabinopor
dc.contributor.authorVicente, Henriquepor
dc.contributor.authorAbelha, Antóniopor
dc.contributor.authorNovais, Paulopor
dc.contributor.authorMachado, José Manuelpor
dc.contributor.authorNeves, Josépor
dc.date.accessioned2014-11-24T10:24:18Z-
dc.date.available2014-11-24T10:24:18Z-
dc.date.issued2014-
dc.identifier.isbn9781880843970por
dc.identifier.urihttp://hdl.handle.net/1822/31146-
dc.description.abstractOn the one hand, cardiovascular diseases have severe consequences on an individual and for the society in general, once they are the main cause to death. These facts reveal that it is vital to get preventive, by knowing how probable is to have that kind of illness. On the other hand, and until now, this risk has been assessed by a Systematic Coronary Risk Evaluation procedure that takes data from charts based on gender, age, total cholesterol, systolic blood pressure and smoking status, but with no conceivable potential to deal with the incomplete or default data that is presented on those tools. Therefore, the focus in this work will be on the development of a risk evaluation support system based on a low-risk record, grounded on a new approach to knowledge representation and reasoning, that based on an extension to the Logic Programming language, will be able to overcome the drawbacks of the present ones. This will be complemented with a computational framework based on Artificial Neural Networks.por
dc.description.sponsorship(undefined)por
dc.language.isoengpor
dc.publisherInternational Society of Computers and Their Applications (ISCA)por
dc.rightsrestrictedAccesspor
dc.subjectSystematic Coronary Risk Evaluationpor
dc.subjectKnowledge representation and reasoningpor
dc.subjectLogic programmingpor
dc.subjectArtificial Neural Networkspor
dc.titleSystematic coronary risk evaluation through artificial neural networks based systemspor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
oaire.citationStartPage21por
oaire.citationEndPage26por
oaire.citationConferencePlaceNew Orleans, Louisiana, USApor
oaire.citationTitle27th International Conference on Computer Applications in Industry and Engineering (CAINE 2014)por
sdum.conferencePublication27th International Conference on Computer Applications in Industry and Engineering (CAINE 2014)por
Appears in Collections:CCTC - Artigos em atas de conferências internacionais (texto completo)

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