Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/44489
DC FieldValueLanguage
dc.contributor.authorSoares, Inês-
dc.contributor.authorDias, Joana-
dc.contributor.authorRocha, Humberto-
dc.contributor.authorKhouri, Leila-
dc.contributor.authorLopes, Maria do Carmo-
dc.contributor.authorFerreira, Brígida-
dc.date.accessioned2017-11-21T11:54:48Z-
dc.date.available2017-11-21T11:54:48Z-
dc.date.issued2017-
dc.identifier.urihttps://hdl.handle.net/10316/44489-
dc.language.isoengpor
dc.rightsopenAccesspor
dc.titlePredicting xerostomia after IMRT treatments: a data mining approachpor
dc.typearticle-
degois.publication.titleHealth and Technologypor
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s12553-017-0204-4por
dc.peerreviewedyespor
dc.identifier.doi10.1007/s12553-017-0204-4por
dc.identifier.doi10.1007/s12553-017-0204-4-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextCom Texto completo-
item.languageiso639-1en-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.researchunitCeBER – Centre for Business and Economics Research-
crisitem.author.researchunitINESC Coimbra – Institute for Systems Engineering and Computers at Coimbra-
crisitem.author.orcid0000-0003-2517-7905-
crisitem.author.orcid0000-0002-5981-4469-
crisitem.author.orcid0000-0001-7339-7342-
Appears in Collections:FEUC- Artigos em Revistas Internacionais
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