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Pointers to earlier diagnosis of endometriosis : a nested case-control study using primary care electronic health records

dc.contributor.authorBurton, Christopher
dc.contributor.authorIversen, Lisa
dc.contributor.authorBhattacharya, Sohinee
dc.contributor.authorAyansina, Dolapo
dc.contributor.authorSaraswat, Lucky
dc.contributor.authorSleeman, Derek
dc.date.accessioned2018-11-30T00:02:42Z
dc.date.available2018-11-30T00:02:42Z
dc.date.issued2017-12
dc.identifier105421718
dc.identifier59ff3585-f985-40de-ab8e-a735713bee09
dc.identifier000416553300001
dc.identifier85037033824
dc.identifier.citationBurton , C , Iversen , L , Bhattacharya , S , Ayansina , D , Saraswat , L & Sleeman , D 2017 , ' Pointers to earlier diagnosis of endometriosis : a nested case-control study using primary care electronic health records ' , The British Journal of General Practice , vol. 67 , no. 665 , pp. e816-e823 . https://doi.org/10.3399/bjgp17X693497en
dc.identifier.issn0960-1643
dc.identifier.urihttp://hdl.handle.net/2164/11542
dc.descriptionAcknowledgments: We wish to thank the expert clinicians and representatives of Endometriosis UK for their interviews. Funding: This study was funded by the Chief Scientist Office of NHS Scotland through its first health informatics call (reference HICG/1/25). The funder played no role in conducting the research or in writing the paper.en
dc.format.extent8
dc.format.extent863978
dc.language.isoeng
dc.relation.ispartofThe British Journal of General Practiceen
dc.subjectEndometriosisen
dc.subjectDiagnosisen
dc.subjectPrimary Careen
dc.subjectElectronic Health Recordsen
dc.subjectRG Gynecology and obstetricsen
dc.subjectChief Scientist Office (CSO)en
dc.subjectHICG/1/25en
dc.subject.lccRGen
dc.titlePointers to earlier diagnosis of endometriosis : a nested case-control study using primary care electronic health recordsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.description.statusPeer revieweden
dc.identifier.doi10.3399/bjgp17X693497
dc.date.embargoedUntil2018-11-06


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