Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group

UK Biobank Stroke Outcomes Group; UK Biobank Follow-Up and Outcomes Working Group

doi:10.1371/journal.pone.0140533

Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group

UK Biobank Stroke Outcomes Group, UK Biobank Follow-Up and Outcomes Working Group

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	e0140533
Journal	PLoS ONE
Volume	10
Issue number	10
DOIs	https://doi.org/10.1371/journal.pone.0140533
Publication status	Published - 23 Oct 2015

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10.1371/journal.pone.0140533

Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies
Copyright: © 2015 Woodfield et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Final published version, 41.3 MBLicence: Creative Commons: Attribution (CC-BY)

http://dx.plos.org/10.1371/journal.pone.0140533

1 Finished

The association between blood pressure and the different pathological types of stroke in UK Biobank
Woodfield, R.
UK-based charities
1/03/14 → 31/07/16
Project: Research

Cite this

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title = "Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group",

author = "Rebecca Woodfield and Ian Grant and {UK Biobank Stroke Outcomes Group} and {UK Biobank Follow-Up and Outcomes Working Group} and Catherine Sudlow",

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Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group. / UK Biobank Stroke Outcomes Group; UK Biobank Follow-Up and Outcomes Working Group.

In: PLoS ONE, Vol. 10, No. 10, 23.10.2015, p. e0140533.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

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AU - Grant, Ian

AU - UK Biobank Stroke Outcomes Group

AU - UK Biobank Follow-Up and Outcomes Working Group

AU - Sudlow, Catherine

PY - 2015/10/23

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Accuracy of Electronic Health Record Data for Identifying Stroke Cases in Large-Scale Epidemiological Studies: A Systematic Review from the UK Biobank Stroke Outcomes Group

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Projects

The association between blood pressure and the different pathological types of stroke in UK Biobank

Cite this