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

Artificial Intelligence (122) Machine Learning (52) Clinical Information and Decision Making (1340) New Methods (911) Decision Support for Health Professionals (1147) Machine Learning (1401) Artificial Intelligence (1216) Adoption and Change Management of eHealth Systems (677) Health Services Research (413) Methods and Instruments in Medical Informatics (106)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45257, first published .
Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Authors of this article:

Hazem Lashen1 Author Orcid Image ;   Terrence Lee St John2 Author Orcid Image ;   Y Zaki Almallah2 Author Orcid Image ;   Madhu Sasidhar3 Author Orcid Image ;   Farah E Shamout1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Hazem Lashen   1 , BSc ;   Terrence Lee St John   2 , PhD ;   Y Zaki Almallah   2 , MD ;   Madhu Sasidhar   3 , MD ;   Farah E Shamout   1 , DPhil

1 Engineering Division, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates

2 Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates

3 Cleveland Clinic Tradition Hospital, Port St. Lucie, FL, United States

Corresponding Author:

  • Farah E Shamout, DPhil
  • Engineering Division
  • New York University Abu Dhabi
  • Saadiyat Island
  • Abu Dhabi, 129188
  • United Arab Emirates
  • Phone: 971 2 6284184
  • Email: farah.shamout@nyu.edu