Machine learning-based prediction of 1-year mortality for acute coronary syndrome

Hadanny, A, Shouval, R, Wu, J orcid.org/0000-0001-6093-599X et al. (8 more authors) (2022) Machine learning-based prediction of 1-year mortality for acute coronary syndrome. Journal of Cardiology, 79 (3). pp. 342-351. ISSN 0914-5087

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Journal of Cardiology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Acute coronary syndrome; Survival; Machine learning; Outcome; Mortality
Dates:
  • Accepted: 13 October 2021
  • Published (online): 29 November 2021
  • Published: 1 March 2022
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)
Depositing User: Symplectic Publications
Date Deposited: 03 Dec 2021 14:07
Last Modified: 29 Nov 2022 01:13
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.jjcc.2021.11.006

Export

Statistics