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Mathematical modelling for assessing fracture risk associated with osteoporosis

dc.contributor.authorMonteiro, D.
dc.contributor.authorPereira, Ana Monteiro
dc.contributor.authorBatista, Maria do Carmo
dc.contributor.authorFonseca, E.M.M.
dc.date.accessioned2015-07-27T08:56:28Z
dc.date.available2015-07-27T08:56:28Z
dc.date.issued2015
dc.description.abstractOsteoporosis is a systemic skeletal disease, characterized by low boné mass and by changing the boné microstructure. According to the Portuguese Society of Osteoporosis and Metabolic Boné Diseases (SPODOM), this disease affects about 500,000 people in Portugal. This paperp resentsa studyo nt hee valuationo ft hefr acturesr iskd uet ob onéd emineralizationt hrough various risk factors, An optimization code is developed using a mathematical program for diagnosingt hed iseasea ndt oc omparei tw itht hed iagnosiso btainedf romD EXA(D ual-energyX - ray absorptiometry) scans.por
dc.identifier.citationMonteiro, D.; Pereira, A.; Batista, M.; Fonseca, E.M.M. (2015). Mathematical modelling for assessing fracture risk associated with osteoporosis. In the International Conference on Clinical and BioEngineering for Women’s Health BioMedWomen 2015. Porto, Portugalpor
dc.identifier.urihttp://hdl.handle.net/10198/11978
dc.language.isoengpor
dc.peerreviewedyespor
dc.titleMathematical modelling for assessing fracture risk associated with osteoporosispor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePortopor
oaire.citation.titleInternational Conference on Clinical and BioEngineering for Women’s Health BioMedWomen 2015por
person.familyNameFonseca
person.givenNameElza M. M.
person.identifierR-000-4MB
person.identifier.ciencia-idEB17-92E5-8374
person.identifier.orcid0000-0003-1854-6514
person.identifier.ridD-4604-2011
person.identifier.scopus-author-id7102526169
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationbff18bdf-825b-4b45-9774-4f9d94cbe33e
relation.isAuthorOfPublication.latestForDiscoverybff18bdf-825b-4b45-9774-4f9d94cbe33e

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