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dc.contributor.authorHenriques, Jorge
dc.contributor.authorMendes, Diana
dc.contributor.authorCabete, Ricardo
dc.contributor.authorCabiddu, Ramona
dc.contributor.authorBianchi, Anna
dc.contributor.authorMorais, Joao
dc.contributor.authorParedes, Simao
dc.contributor.authorRocha, Teresa
dc.contributor.authorde Carvalho, Paulo
dc.date.accessioned2022-02-18T09:44:51Z
dc.date.available2022-02-18T09:44:51Z
dc.identifier.citationParedes S., Rocha T., de Carvalho P., Henriques J., Mendes D., Cabete R., Cabiddu R., Bianchi A., Morais J., "The CardioRisk project: Improvement of cardiovascular risk assessment", JOURNAL OF COMPUTATIONAL SCIENCE, cilt.9, ss.39-44, 2015
dc.identifier.issn1877-7503
dc.identifier.otherav_5a7e16ac-a749-4cd6-b4ed-b890f54c3e9c
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/177894
dc.identifier.urihttps://doi.org/10.1016/j.jocs.2015.04.025
dc.description.abstractThe CardioRisk project addresses the coronary artery disease (CAD), namely, the management of myocardial infarction (MI) patients. The main goal is the development of personalized clinical models for cardiovascular (CV) risk assessment of acute events (e.g., death and new hospitalization), in order to stratify patients according to their care needs. This paper presents an overview of the scientific and technological issues that are under research and development.
dc.language.isoeng
dc.subjectComputer Science Applications
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectBiyoenformatik
dc.subjectMühendislik ve Teknoloji
dc.subjectTheoretical Computer Science
dc.subjectComputers in Earth Sciences
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectGeneral Computer Science
dc.subjectComputer Science (miscellaneous)
dc.subjectPhysical Sciences
dc.titleThe CardioRisk project: Improvement of cardiovascular risk assessment
dc.typeMakale
dc.relation.journalJOURNAL OF COMPUTATIONAL SCIENCE
dc.contributor.departmentInst Super Engn Coimbra , ,
dc.identifier.volume9
dc.identifier.startpage39
dc.identifier.endpage44
dc.contributor.firstauthorID3383326


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