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dc.contributor.authorVerhaeghe, Jarne
dc.contributor.authorDhaese, Sofie A. M.
dc.contributor.authorDe Corte, Thomas
dc.contributor.authorVander Mijnsbrugge, David
dc.contributor.authorAardema, Heleen
dc.contributor.authorZijlstra, Jan G.
dc.contributor.authorVerstraete, Alain G.
dc.contributor.authorStove, Veronique
dc.contributor.authorColin, Pieter
dc.contributor.authorOngenae, Femke
dc.contributor.authorDe Waele, Jan J.
dc.contributor.authorVan Hoecke, Sofie
dc.date.accessioned2022-09-05T13:07:54Z
dc.date.available2022-09-05T02:37:54Z
dc.date.available2022-09-05T13:07:54Z
dc.date.issued2022
dc.identifier.issn1472-6947
dc.identifier.otherWOS:000844748700001
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40347.2
dc.sourceWOS
dc.titleDevelopment and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients
dc.typeJournal article
dc.contributor.imecauthorVerhaeghe, Jarne
dc.contributor.imecauthorVander Mijnsbrugge, David
dc.contributor.imecauthorOngenae, Femke
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecVerhaeghe, Jarne::0000-0002-3322-150X
dc.contributor.orcidimecVander Mijnsbrugge, David::0000-0002-9918-3438
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.identifier.doi10.1186/s12911-022-01970-y
dc.source.numberofpages17
dc.source.peerreviewyes
dc.source.journalBMC MEDICAL INFORMATICS AND DECISION MAKING
dc.identifier.pmidMEDLINE:36008808
dc.source.issue1
dc.source.volume22
imec.availabilityUnder review


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