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dc.contributor.authorSoudah Prieto, Eduardo
dc.contributor.authorLópez González, Roberto
dc.contributor.authorBordone, Maurizio
dc.contributor.authorOñate Ibáñez de Navarra, Eugenio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Resistència de Materials i Estructures a l'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.identifier.citationSoudah, E. [et al.]. "Decision support system for cardiovascular problems". Barcelona: International Centre for Numerical Methods in Engineering (CIMNE), 2008. ISBN 978-84-96736-43-6.
dc.description.abstractThe DISHEART project aims at developing a new computer based decision support system (DSS) integrating medical image data, modelling, simulation, computational Grid technologies and artificial intelligence methods for assisting clinical diagnosis and intervention in cardiovascular problems. The RTD goal is to improve and link existing state of the art technologies in order to build a computerised cardiovascular model for the analysis of the heart and blood vessels. The resulting DISHEART DSS interfaces computational biomechanical analysis tools with the information coming from multimodal medical images. The computational model is coupled to an artificial neural network (ANN) based decision model that can be educated for each particular patient with data coming from his/her images and/or analyses. The DISHEART DSS system is validated in trials of clinical diagnosis, surgical intervention and subject-specific design of medical devices in the cardiovascular domain. The DISHEART DSS also contributes to a better understanding of cardiovascular morphology and function as inferred from routine imaging examinations. Four reputable medical centers in Europe took an active role in the validation and dissemination of the DISHEART DSS as well as the elaboration of computational material and medical images. The integrated DISHEART DSS supports health professionals in taking promptly the best possible decision for prevention, diagnosis and treatment. Emphasis was put in the development of userfriendly, fast and reliable tools and interfaces providing access to heterogeneous health information sources, as well as on new methods for decision support and risk analysis. The use of Grid computing technology is essential in order to optimise and distribute the heavy computational work required for physical modelling and numerical simulations and especially for the parametric analysis required for educating the DSS for every particular application. The four end user SMEs participating in the project benefits from the new DISHEART DSS. The companies COMPASS, QUANTECH and Heartcore will market the DSS among public and private organizations related to the cardiovascular field. EndoArt will exploit the DISHEART DSS as a support for enhanced design and production of clinical devices. The partnership was sought in order to gather the maximum complementary of skills for the successful development of the project Disheart DSS, requiring experts in Mechanical sciences, Medical sciences, Informatic, and FEM technique to grow up the testes.
dc.publisherInternational Centre for Numerical Methods in Engineering (CIMNE)
dc.subjectÀrees temàtiques de la UPC::Ciències de la salut::Medicina
dc.subject.lcshCardiovascular Diseases--diagnosis
dc.subject.otherCIMNE Monograph
dc.subject.otherMonografía CIMNE
dc.titleDecision support system for cardiovascular problems
dc.subject.lemacSistema cardiovascular -- Malalties -- Diagnòstic
dc.contributor.groupUniversitat Politècnica de Catalunya. GMNE - Grup de Mètodes Numèrics en Enginyeria
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.authorSoudah, E.; López, R.; Bordone, M.; Oñate, E.
local.citation.publicationNameDecision support system for cardiovascular problems

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