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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Statistical Methods for Surveillance and Population Health (156) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20259, first published .
Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation

Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation

Prognostic Modeling of COVID-19 Using Artificial Intelligence in the United Kingdom: Model Development and Validation

Authors of this article:

Ahmed Abdulaal1 Author Orcid Image ;   Aatish Patel1 Author Orcid Image ;   Esmita Charani2 Author Orcid Image ;   Sarah Denny1 Author Orcid Image ;   Nabeela Mughal1 Author Orcid Image ;   Luke Moore1, 2 Author Orcid Image
Article Authors Cited by (66) Tweetations (16) Metrics

Ahmed Abdulaal   1 , MBBS, BSc ;   Aatish Patel   1 , MBBS, BSc ;   Esmita Charani   2 , PhD ;   Sarah Denny   1 , MBBS, BSc ;   Nabeela Mughal   1 , MBBS, MSc ;   Luke Moore   1, 2 , MBBS, PhD

1 Chelsea and Westminster NHS Foundation Trust, London, United Kingdom

2 NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Imperial College London, London, United Kingdom

Corresponding Author:

  • Luke Moore, MBBS, PhD
  • NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance
  • Imperial College London
  • Exhibition Rd, South Kensington
  • London, SW7 2AZ
  • United Kingdom
  • Phone: 44 783-436-6302
  • Email: l.moore@imperial.ac.uk