dc.contributor.author | Nateghi, Fateme | |
dc.contributor.author | Viaene, Liesbeth | |
dc.contributor.author | Pottel, Hans | |
dc.contributor.author | De Corte, Wouter | |
dc.contributor.author | Vens, Celine | |
dc.date.accessioned | 2024-04-25T11:52:04Z | |
dc.date.available | 2023-07-04T20:27:21Z | |
dc.date.available | 2024-04-25T11:52:04Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.other | WOS:001010021600005 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/42124.2 | |
dc.source | WOS | |
dc.title | Predicting outcomes of acute kidney injury in critically ill patients using machine learning | |
dc.type | Journal article | |
dc.contributor.imecauthor | Nateghi, Fateme | |
dc.contributor.imecauthor | Vens, Celine | |
dc.contributor.orcidimec | Nateghi, Fateme::0000-0002-8874-8835 | |
dc.contributor.orcidimec | Vens, Celine::0000-0003-0983-256X | |
dc.date.embargo | 2023-06-18 | |
dc.identifier.doi | 10.1038/s41598-023-36782-1 | |
dc.source.numberofpages | 13 | |
dc.source.peerreview | yes | |
dc.source.beginpage | Art. 9864 | |
dc.source.endpage | N/A | |
dc.source.journal | SCIENTIFIC REPORTS | |
dc.identifier.pmid | MEDLINE:37331979 | |
dc.source.issue | 1 | |
dc.source.volume | 13 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This work was supported by KU Leuven Internal Funds (grant 3M180314). | |