Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting

Fuller, G.W. orcid.org/0000-0001-8532-3500, Hasan, M., Hodkinson, P. et al. (7 more authors) (2023) Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting. PLOS Digital Health, 2 (9). e0000309. ISSN 2767-3170

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Copyright, Publisher and Additional Information: © 2023 Fuller et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 27 June 2023
  • Published (online): 20 September 2023
  • Published: 20 September 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 27 Sep 2023 08:58
Last Modified: 27 Sep 2023 08:58
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: https://doi.org/10.1371/journal.pdig.0000309
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