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Machine learning in the clinical and language characterisation of primary progressive aphasia variants

dc.contributor.authorMatias Guiu, J. A.
dc.contributor.authorDíaz Álvarez, J.
dc.contributor.authorCuetos Vega, Fernando 
dc.contributor.authorCabrera Martín, M. N.
dc.contributor.authorSegovia Ríos, I.
dc.contributor.authorPytel, V.
dc.contributor.authorMoreno Ramos, T.
dc.contributor.authorCarreras, J. L.
dc.contributor.authorMatías Guiu, J.
dc.contributor.authorAyala, José L.
dc.date.accessioned2019-11-14T10:21:57Z
dc.date.available2019-11-14T10:21:57Z
dc.date.issued2019
dc.identifier.citationCortex, 119, p. 312-323 (2019); doi:10.1016/j.cortex.2019.05.007
dc.identifier.issn0010-9452
dc.identifier.urihttp://hdl.handle.net/10651/53131
dc.description.sponsorshipWe acknowledge support from the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (ERDF) under project TIN2017-85727-C4-4-P and projects IB16035, of the Regional Government of Extremadura's Department of Commerce and Economy, conceded by the European Regional 282 Development Fund, “A way to build Europe.”
dc.format.extentp. 312-323
dc.language.isoeng
dc.relation.ispartofCortex, 119
dc.rights© 2019 Elsevier Ltd.
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85066793209&doi=10.1016%2fj.cortex.2019.05.007&partnerID=40&md5=a735bf45d862f7a677b5bbe1e1ed35a2
dc.titleMachine learning in the clinical and language characterisation of primary progressive aphasia variants
dc.typejournal article
dc.identifier.doi10.1016/j.cortex.2019.05.007
dc.relation.projectIDMINECO/FEDER/TIN2017-85727-C4-4-P
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.cortex.2019.05.007


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