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

Warning

There is a more recent version of this eprint available. Click here to view it.

This is a preprint and may not have undergone formal peer review

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]

Metadata

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) > ScHARR - 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

Available Versions of this Item

Export

Statistics