Sawhney, SimonFluck, NickMarks, AngharadPrescott, GordonSimpson, WilliamTomlinson, LaurieBlack, Corri2015-04-292015-04-292015-11Sawhney, 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/gfv0940931-0509ORCID: /0000-0003-1910-462X/work/43958810ORCID: /0000-0002-7960-4573/work/97666991http://hdl.handle.net/2164/4465ACKNOWLEDGEMENTS 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).9355919engacute kidney injurydiagnosisepidemiologyscreeningRC Internal medicineWellcome Trust102729/Z/13/ZMedical Research Council (MRC)RCJournal article10.1093/ndt/gfv0943011