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A machine learning approach to assess injury risk in elite youth football players

dc.contributor.authorRommers, N.
dc.contributor.authorRössler, R.
dc.contributor.authorVerhaegen, E.
dc.contributor.authorVandecasteele, Florian
dc.contributor.authorVerstockt, Steven
dc.contributor.authorVaeyens, R.
dc.contributor.authorLenoir, M.
dc.contributor.authorD'Hondt, E.
dc.contributor.authorWitvrouw, E.
dc.date.accessioned2021-10-29T03:13:51Z
dc.date.available2021-10-29T03:13:51Z
dc.date.issued2020
dc.identifier.issn0195-9131
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35852
dc.sourceIIOimport
dc.titleA machine learning approach to assess injury risk in elite youth football players
dc.typeJournal article
dc.contributor.imecauthorVerstockt, Steven
dc.contributor.orcidimecVerstockt, Steven::0000-0003-1094-2184
dc.date.embargo9999-12-31
dc.identifier.doi10.1249/MSS.0000000000002305
dc.source.peerreviewyes
dc.source.beginpage1745
dc.source.endpage1751
dc.source.journalMedicine & Science in Sports & Exercise
dc.source.issue8
dc.source.volume52
imec.availabilityPublished - open access


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