Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19 : development, application and comparison of machine learning and deep learning methods

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Hasan, M., Bath, P. orcid.org/0000-0002-6310-7396, Marincowitz, C. orcid.org/0000-0003-3043-7564 et al. (12 more authors) (Submitted: 2022) Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19 : development, application and comparison of machine learning and deep learning methods. [Preprint]

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors.
Dates:
  • Submitted: 25 March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
Health Data Research UK2021.0099
Depositing User: Symplectic Sheffield
Date Deposited: 30 Aug 2022 12:22
Last Modified: 30 Aug 2022 12:22
Identification Number: https://doi.org/10.2139/ssrn.4064781

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