Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29903
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dc.contributor.authorYPERMAN, Jan-
dc.contributor.authorBECKER, Thijs-
dc.contributor.authorVALKENBORG, Dirk-
dc.contributor.authorPOPESCU, Veronica-
dc.contributor.authorHELLINGS, Niels-
dc.contributor.authorVAN WIJMEERSCH, Bart-
dc.contributor.authorPEETERS, Liesbet-
dc.date.accessioned2019-11-04T14:21:43Z-
dc.date.available2019-11-04T14:21:43Z-
dc.date.issued2019-
dc.identifier.citationMULTIPLE SCLEROSIS JOURNAL, 25(SI2), p. 874-875-
dc.identifier.issn1352-4585-
dc.identifier.urihttp://hdl.handle.net/1942/29903-
dc.language.isoen-
dc.publisherSAGE PUBLICATIONS LTD-
dc.subject.otherClinical Neurology; Neurosciences-
dc.titleMachine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis-
dc.typeJournal Contribution-
local.bibliographicCitation.conferencedateSEP 11-13, 2019-
local.bibliographicCitation.conferencename35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) / 24th Annual Conference of Rehabilitation in MS-
local.bibliographicCitation.conferenceplaceStockholm, SWEDEN-
dc.identifier.epage875-
dc.identifier.issueSI2-
dc.identifier.spage874-
dc.identifier.volume25-
local.format.pages2-
local.bibliographicCitation.jcatM-
dc.description.notes[Yperman, J.; Becker, T.; Valkenborg, D.; Popescu, V.; Hellings, N.; Van Wijmeersch, B.; Peeters, L. M.] Hasselt Univ, Hasselt, Belgium.-
local.publisher.placeLONDON-
local.type.refereedRefereed-
local.type.specifiedMeeting Abstract-
dc.identifier.isi000485303103371-
item.contributorYPERMAN, Jan-
item.contributorBECKER, Thijs-
item.contributorVALKENBORG, Dirk-
item.contributorPOPESCU, Veronica-
item.contributorHELLINGS, Niels-
item.contributorVAN WIJMEERSCH, Bart-
item.contributorPEETERS, Liesbet-
item.fullcitationYPERMAN, Jan; BECKER, Thijs; VALKENBORG, Dirk; POPESCU, Veronica; HELLINGS, Niels; VAN WIJMEERSCH, Bart & PEETERS, Liesbet (2019) Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis. In: MULTIPLE SCLEROSIS JOURNAL, 25(SI2), p. 874-875.-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
crisitem.journal.issn1352-4585-
crisitem.journal.eissn1477-0970-
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