Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension

Alabed, S. orcid.org/0000-0002-9960-7587, Uthoff, J., Zhou, S. et al. (15 more authors) (2022) Machine learning cardiac-MRI features predict mortality in newly diagnosed pulmonary arterial hypertension. European Heart Journal - Digital Health. ztac022. ISSN 2634-3916

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Machine learning; Artificial Intelligence; Cardiac MRI; prognosis; mortality; Pulmonary hypertension
Dates:
  • Published (online): 2 May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 13 May 2022 10:15
Last Modified: 10 Jun 2022 10:03
Status: Published online
Publisher: Oxford University Press
Refereed: Yes
Identification Number: https://doi.org/10.1093/ehjdh/ztac022

Download

Share / Export

Statistics