This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (82) Cardiac Arrhythmia, Atrial Fibrillation (80) Cardiac Risk and Cardiac Risk Calculators (32) Myocardial Infarction (Heart Attack) (38) Artificial Intelligence (1186) Machine Learning (1370) Decision Support for Health Professionals (1127) Computer-Aided Diagnosis (94)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30798, first published .
Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review

Authors of this article:

Asma Alamgir1 Author Orcid Image ;   Osama Mousa1 Author Orcid Image ;   Zubair Shah1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Asma Alamgir   1 * , BSc ;   Osama Mousa   1 * , BSc ;   Zubair Shah   1, 2 , PhD

1 College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar

2 Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia

*these authors contributed equally

Corresponding Author:

  • Zubair Shah, PhD
  • College of Science and Engineering
  • Hamad Bin Khalifa University
  • Qatar Foundation
  • Education City, PO BOX 34110
  • Street 2731, Al Luqta St, Ar-Rayyan
  • Doha
  • Qatar
  • Phone: 974 5074 4851
  • Email: zshah@hbku.edu.qa