dc.contributor.author | Sawhney, Simon | |
dc.contributor.author | Fluck, Nick | |
dc.contributor.author | Marks, Angharad | |
dc.contributor.author | Prescott, Gordon | |
dc.contributor.author | Simpson, William | |
dc.contributor.author | Tomlinson, Laurie | |
dc.contributor.author | Black, Corri | |
dc.date.accessioned | 2015-04-29T10:20:02Z | |
dc.date.available | 2015-04-29T10:20:02Z | |
dc.date.issued | 2015-11 | |
dc.identifier | 48950682 | |
dc.identifier | e0cdb43c-7473-4909-a4da-ea2586171dae | |
dc.identifier | 84948397601 | |
dc.identifier.citation | Sawhney , S , Fluck , N , Marks , A , Prescott , G , Simpson , W , Tomlinson , L & Black , C 2015 , ' Acute kidney injury – how does automated detection perform? ' , Nephrology Dialysis Transplantation , vol. 30 , no. 11 , pp. 1853-1861 . https://doi.org/10.1093/ndt/gfv094 | en |
dc.identifier.issn | 0931-0509 | |
dc.identifier.other | ORCID: /0000-0003-1910-462X/work/43958810 | |
dc.identifier.other | ORCID: /0000-0002-7960-4573/work/97666991 | |
dc.identifier.uri | http://hdl.handle.net/2164/4465 | |
dc.description | ACKNOWLEDGEMENTS We acknowledge the data management support of the Grampian Data Safe Haven (DaSH) and the associated financial support of NHS Research Scotland, through NHS Grampian investment in the Grampian DaSH. FUNDING This work was funded through a personal fellowship for S.S. supported by the Wellcome Trust (reference number 102729/Z/13/Z). | en |
dc.format.extent | 9 | |
dc.format.extent | 355919 | |
dc.language.iso | eng | |
dc.relation.ispartof | Nephrology Dialysis Transplantation | en |
dc.subject | acute kidney injury | en |
dc.subject | diagnosis | en |
dc.subject | epidemiology | en |
dc.subject | screening | en |
dc.subject | RC Internal medicine | en |
dc.subject | Wellcome Trust | en |
dc.subject | 102729/Z/13/Z | en |
dc.subject | Medical Research Council (MRC) | en |
dc.subject.lcc | RC | en |
dc.title | Acute kidney injury – how does automated detection perform? | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Chronic Disease Research Group | en |
dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | 10.1093/ndt/gfv094 | |