Article info
PDFArrhythmias and sudden death
Original research
Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis
- Correspondence to Dr Ramesh Nadarajah, Leeds Institute of Data Analytics, University of Leeds, Leeds, UK; r.nadarajah{at}leeds.ac.uk
Citation
Prediction of incident atrial fibrillation in community-based electronic health records: a systematic review with meta-analysis
Publication history
- Received July 19, 2021
- Accepted September 9, 2021
- First published October 4, 2021.
Online issue publication
October 18, 2023
Article Versions
- Previous version (10 June 2022).
- Previous version (10 June 2022).
- You are viewing the most recent version of this article.
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Supplementary Data
This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.
Request permissions
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Copyright information
© Author(s) (or their employer(s)) 2022. 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/.