Prediction of short-term atrial fibrillation risk using primary care electronic health records

Nadarajah, R orcid.org/0000-0001-9895-9356, Wu, J, Hogg, DC et al. (10 more authors) (2023) Prediction of short-term atrial fibrillation risk using primary care electronic health records. Heart. ISSN 1355-6037

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/. 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:
  • Published (online): 9 February 2023
  • Accepted: 26 January 2023
Institution: The University of Leeds
Academic Units: 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:
Funder
Grant number
British Heart Foundation
FS/20/12/34789
British Heart Foundation
CC/22/250026
Depositing User: Symplectic Publications
Date Deposited: 22 Feb 2023 11:56
Last Modified: 25 Jun 2023 23:14
Status: Published online
Publisher: BMJ Publishing Group
Identification Number: 10.1136/heartjnl-2022-322076
Open Archives Initiative ID (OAI ID):

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