Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis

Nadarajah, R orcid.org/0000-0001-9895-9356, Alsaeed, E orcid.org/0000-0003-4161-0625, Hurdus, B orcid.org/0000-0001-8149-3449 et al. (6 more authors) (2021) Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis. Heart. ISSN 1355-6037

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © Author(s) (or their employer(s)) 2021. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
Dates:
  • Accepted: 9 September 2021
  • Published (online): 4 October 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Dentistry (Leeds) > Applied Health and Clinical Translation (Leeds)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Funding Information:
FunderGrant number
British Heart FoundationFS/20/12/34789
Depositing User: Symplectic Publications
Date Deposited: 14 Sep 2021 09:17
Last Modified: 11 Oct 2021 14:33
Status: Published online
Publisher: BMJ Publishing Group
Identification Number: https://doi.org/10.1136/heartjnl-2021-320036

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