Publication:

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

Date

2022
Journal article
https://doi.org/10.1038/s43856-022-00225-1
Simple item page Full metadata Statistics
 
dc.contributor.authorD'Hondt, Ellie
dc.contributor.authorAshby, Tom
dc.contributor.authorChakroun, Imen
dc.contributor.authorKoninckx, Thomas
dc.contributor.authorWuyts, Roel
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.accessioned2023-11-17T09:04:50Z
dc.date.available2023-11-11T18:13:53Z
dc.date.available2023-11-17T09:04:50Z
dc.date.embargo2022-12-21
dc.date.issued2022
dc.description.wosFundingTextThis research received funding from the Flemish regional government (AI Research Program).
dc.identifier.doi10.1038/s43856-022-00225-1
dc.identifier.issn2730-664X
dc.identifier.pmidMEDLINE:36543940
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43126
dc.publisherSPRINGERNATURE
dc.source.beginpageArt. 162
dc.source.endpagena
dc.source.issue1
dc.source.journalCOMMUNICATIONS MEDICINE
dc.source.numberofpages12
dc.source.volume2
dc.subject.keywordsPREDICTION
dc.title

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

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
s43856-022-00225-1.pdf
Size:
756.64 KB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles