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Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit

dc.contributor.authorD'Hondt, Ellie
dc.contributor.authorAshby, Tom
dc.contributor.authorChakroun, Imen
dc.contributor.authorKoninckx, Thomas
dc.contributor.authorWuyts, Roel
dc.date.accessioned2023-11-17T09:04:50Z
dc.date.available2023-11-11T18:13:53Z
dc.date.available2023-11-17T09:04:50Z
dc.date.issued2022
dc.identifier.issn2730-664X
dc.identifier.otherWOS:001088403900001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43126.2
dc.sourceWOS
dc.titleIdentifying and evaluating barriers for the implementation of machine learning in the intensive care unit
dc.typeJournal article
dc.contributor.imecauthorD'Hondt, Ellie
dc.contributor.imecauthorAshby, Tom
dc.contributor.imecauthorChakroun, Imen
dc.contributor.imecauthorWuyts, Roel
dc.contributor.orcidimecD'Hondt, Ellie::0000-0002-1451-4569
dc.contributor.orcidimecChakroun, Imen::0000-0002-8873-1793
dc.contributor.orcidimecWuyts, Roel::0000-0003-4236-995X
dc.contributor.orcidimecAshby, Tom::0000-0002-9259-6475
dc.date.embargo2022-12-21
dc.identifier.doi10.1038/s43856-022-00225-1
dc.source.numberofpages12
dc.source.peerreviewyes
dc.source.beginpageArt. 162
dc.source.endpagena
dc.source.journalCOMMUNICATIONS MEDICINE
dc.identifier.pmidMEDLINE:36543940
dc.source.issue1
dc.source.volume2
imec.availabilityPublished - open access
dc.description.wosFundingTextThis research received funding from the Flemish regional government (AI Research Program).


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220.500.12860/43126.2*2023-11-17T09:03:20Zvalidation by library/open access desk
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