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

Reviews in AI (12) Applications of AI (80)

Published on in Vol 2 (2023)

This is a member publication of The University of Edinburgh, Usher Institute, Edinburgh, United Kingdom

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46717, first published .
Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

Authors of this article:

Arif Budiarto1, 2 Author Orcid Image ;   Kevin C H Tsang1 Author Orcid Image ;   Andrew M Wilson3, 4 Author Orcid Image ;   Aziz Sheikh1 Author Orcid Image ;   Syed Ahmar Shah1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Arif Budiarto   1, 2 , MSc ;   Kevin C H Tsang   1 , PhD ;   Andrew M Wilson   3, 4 , MD FRCP ;   Aziz Sheikh   1 , MD ;   Syed Ahmar Shah   1 , DPhil

1 Asthma UK Center for Applied Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom

2 Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia

3 Norwich Medical School, University of East Anglia, Norwich, United Kingdom

4 Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, United Kingdom

Corresponding Author:

  • Arif Budiarto, MSc
  • Asthma UK Center for Applied Research
  • Usher Institute
  • University of Edinburgh
  • NINE, 9 Little France Road
  • Edinburgh BioQuarter
  • Edinburgh, EH16 4UX
  • United Kingdom
  • Phone: 44 7447900766
  • Email: arif.budiarto@ed.ac.uk