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Improving Features for Multiple Sclerosis Disability Progression Prediction through Temporal Alignment of Hospital Visits

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dc.contributor.authorFonteyn, Karel
dc.contributor.authorDhaene, Tom
dc.contributor.authorDeschrijver, Dirk
dc.contributor.imecauthorFonteyn, Karel
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.orcidimecFonteyn, Karel::0000-0003-3513-0174
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.date.accessioned2025-08-09T03:57:11Z
dc.date.available2025-08-09T03:57:11Z
dc.date.issued2024-12-18
dc.description.wosFundingTextThis research received funding from the Flemish Government via the AI Research Program.
dc.identifier.doi10.1109/ICMLA61862.2024.00171
dc.identifier.eisbn979-8-3503-7488-9
dc.identifier.isbn979-8-3503-7489-6
dc.identifier.issn1946-0740
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/46038
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage1121
dc.source.conference23rd International Conference on Machine Learning And Applications-ICMLA-Annual
dc.source.conferencedate2024-20-24
dc.source.conferencelocationMiami
dc.source.endpage1124
dc.source.numberofpages4
dc.subject.keywordsEVOKED-POTENTIALS
dc.title

Improving Features for Multiple Sclerosis Disability Progression Prediction through Temporal Alignment of Hospital Visits

dc.typeProceedings paper
dspace.entity.typePublication
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