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dc.contributor.authorVan Steenkiste, Tom
dc.contributor.authorRuyssinck, Joeri
dc.contributor.authorDe Baets, Leen
dc.contributor.authorDecruyenaere, J.
dc.contributor.authorDe Turck, Filip
dc.contributor.authorOngenae, Femke
dc.contributor.authorDhaene, Tom
dc.date.accessioned2021-10-27T21:25:49Z
dc.date.available2021-10-27T21:25:49Z
dc.date.issued2019-06
dc.identifier.issn0933-3657
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34275
dc.sourceIIOimport
dc.titleAccurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
dc.typeJournal article
dc.contributor.imecauthorVan Steenkiste, Tom
dc.contributor.imecauthorRuyssinck, Joeri
dc.contributor.imecauthorDe Turck, Filip
dc.contributor.imecauthorOngenae, Femke
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage38
dc.source.endpage43
dc.source.journalArtificial Intelligence in Medicine
dc.source.volume97
dc.identifier.urlhttps://doi.org/10.1016/j.artmed.2018.10.008
imec.availabilityPublished - open access


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