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dc.contributor.authorSawhney, Simon
dc.contributor.authorFraser, Simon D
dc.date.accessioned2017-08-10T13:00:11Z
dc.date.available2017-08-10T13:00:11Z
dc.date.issued2017-07
dc.identifier.citationSawhney , S & Fraser , S D 2017 , ' Epidemiology of AKI : Utilizing Large Databases to Determine the Burden of AKI ' , Advances in Chronic Kidney Disease , vol. 24 , no. 4 , pp. 194-204 . https://doi.org/10.1053/j.ackd.2017.05.001en
dc.identifier.issn1548-5595
dc.identifier.otherPURE: 101367012
dc.identifier.otherPURE UUID: a217b495-65ab-48c9-a882-93bf0f4b1b4c
dc.identifier.otherPubMed: 28778358
dc.identifier.otherScopus: 85026524259
dc.identifier.otherORCID: /0000-0002-7960-4573/work/47411497
dc.identifier.urihttp://hdl.handle.net/2164/9100
dc.descriptionS.S. is supported by a Clinical Research Training Fellowship from the Wellcome Trust (Ref 102729/Z/13/Z). We also acknowledge the support from The Farr Institute of Health Informatics Research. The Farr Institute is supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly government), the Chief Scientist Office (Scottish government Health Directorates), and the Wellcome Trust (MRC grant nos: Scotland MR/K007017/1). The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; and the decision to submit the report for publication.en
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofAdvances in Chronic Kidney Diseaseen
dc.rightsc2017 The Authors. Published by Elsevier Inc. on behalf of the National Kidney Foundation, Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en
dc.subjectacute kidney injuryen
dc.subjectincidenceen
dc.subjectprognosisen
dc.subjectbig-dataen
dc.subjectquality improvementen
dc.subjectR Medicineen
dc.subjectWellcome Trusten
dc.subject102729/Z/13/Zen
dc.subjectMedical Research Council (MRC)en
dc.subjectMR/K007017/1en
dc.subject.lccRen
dc.titleEpidemiology of AKI : Utilizing Large Databases to Determine the Burden of AKIen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Data Safe Havenen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1053/j.ackd.2017.05.001


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