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dc.contributor.authorLandry, Michel D.
dc.contributor.authorvan Wijchen, Joost
dc.contributor.authorHellinckx, Peter
dc.contributor.authorRowe, Michael
dc.contributor.authorAhmadi, Elaheh
dc.contributor.authorConinx, Karin
dc.contributor.authorMercelis, Siegfried
dc.contributor.authorHansen, Dominique
dc.contributor.authorVissers, Dirk
dc.date.accessioned2023-04-25T10:22:12Z
dc.date.available2022-12-11T03:11:09Z
dc.date.available2023-04-25T10:22:12Z
dc.date.issued2022
dc.identifier.issn0003-9993
dc.identifier.otherWOS:000889068400020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40864.2
dc.sourceWOS
dc.titleArtificial Intelligence and Data-Driven Rehabilitation: The Next Frontier in the Management of Cardiometabolic Disorders
dc.typeEditorial material
dc.identifier.doi10.1016/j.apmr.2022.03.022
dc.source.numberofpages3
dc.source.peerreviewyes
dc.source.beginpage1693
dc.source.endpage1695
dc.source.journalARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
dc.identifier.pmidMEDLINE:35489379
dc.source.issue8
dc.source.volume103
imec.availabilityPublished - imec


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