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dc.contributor.authorSoo, Martin
dc.contributor.authorRobertson, Lynn M
dc.contributor.authorAli, Tariq
dc.contributor.authorClark, Laura E
dc.contributor.authorFluck, Nicholas
dc.contributor.authorJohnston, Marjorie
dc.contributor.authorMarks, Angharad
dc.contributor.authorPrescott, Gordon J
dc.contributor.authorSmith, William Cairns S
dc.contributor.authorBlack, Corri
dc.contributor.authorGLOMMS Group
dc.date.accessioned2014-11-10T09:50:01Z
dc.date.available2014-11-10T09:50:01Z
dc.date.issued2014-04-21
dc.identifier36901330
dc.identifiered4cda5c-be1c-4ca4-a51e-4163d6f8ded5
dc.identifier24751124
dc.identifier84899621978
dc.identifier.citationSoo , M , Robertson , L M , Ali , T , Clark , L E , Fluck , N , Johnston , M , Marks , A , Prescott , G J , Smith , W C S , Black , C & GLOMMS Group 2014 , ' Approaches to ascertaining comorbidity information : validation of routine hospital episode data with clinician-based case note review ' , BMC Research Notes , vol. 7 , 253 . https://doi.org/10.1186/1756-0500-7-253en
dc.identifier.issn1756-0500
dc.identifier.otherORCID: /0000-0003-1910-462X/work/44190160
dc.identifier.urihttp://hdl.handle.net/2164/3826
dc.format.extent8
dc.format.extent376204
dc.language.isoeng
dc.relation.ispartofBMC Research Notesen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectchronic kidney diseaseen
dc.subjectvalidation studyen
dc.subjectmedical record linkageen
dc.subjectpatient outcomesen
dc.subjectpublic healthen
dc.subjectR Medicineen
dc.subject.lccRen
dc.titleApproaches to ascertaining comorbidity information : validation of routine hospital episode data with clinician-based case note reviewen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.University of Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Medicine, Medical Sciences & Nutritionen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doi10.1186/1756-0500-7-253


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