Publication:

Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness

Date

2025-09-30
Journal article
https://doi.org/10.1186/s40635-025-00810-3
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-4884-9420
cris.virtual.orcid0000-0003-0983-256X
cris.virtualsource.department1818b505-f3d3-4102-86bb-f0b7724e974b
cris.virtualsource.departmentfdd92a25-30fb-4753-9761-308aae317a1a
cris.virtualsource.orcid1818b505-f3d3-4102-86bb-f0b7724e974b
cris.virtualsource.orcidfdd92a25-30fb-4753-9761-308aae317a1a
dc.contributor.authorNakano, Felipe Kenji
dc.contributor.authorVan Aerde, Nathalie
dc.contributor.authorCoppens, Gregoire
dc.contributor.authorVanhorebeek, Ilse
dc.contributor.authorVens, Celine
dc.contributor.authorvan den Berghe, Greet
dc.contributor.authorGrandas, Fabian Guiza
dc.date.accessioned2025-11-27T14:53:39Z
dc.date.available2025-11-27T14:53:39Z
dc.date.createdwos2025-10-06
dc.date.issued2025-09-30
dc.description.wosFundingTextWe are indebted to all patients and their families for their participation in this study.
dc.identifier.doi10.1186/s40635-025-00810-3
dc.identifier.issn2197-425X
dc.identifier.pmidMEDLINE:41026286
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58469
dc.language.isoeng
dc.publisherSPRINGER
dc.retractedhttps://doi.org/10.1186/s40635-025-00817-w
dc.source.beginpage98
dc.source.issue1
dc.source.journalINTENSIVE CARE MEDICINE EXPERIMENTAL
dc.source.numberofpages9
dc.source.volume13
dc.subject.keywordsACUTE LUNG INJURY
dc.subject.keywordsINTEROBSERVER AGREEMENT
dc.subject.keywords1-YEAR MORTALITY
dc.subject.keywordsOUTCOMES
dc.subject.keywordsDIAGNOSIS
dc.subject.keywordsDISABILITY
dc.subject.keywordsDISCHARGE
dc.subject.keywordsSURVIVORS
dc.subject.keywordsSTRENGTH
dc.subject.keywordsPARESIS
dc.title

Development and validation of a machine learning model for early prediction of intensive care unit acquired weakness

dc.typeJournal article
dspace.entity.typePublication
dspace.file.typePDF
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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