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

BACKGROUND: COVID-19 infected millions of people and increased mortality worldwide. Patients with suspected COVID-19 utilised emergency medical services (EMS) and attended emergency departments, resulting in increased pressures and waiting times. Rapid and accurate decision-making is required to ide...

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Detalles Bibliográficos
Autores principales: Hasan, M., Bath, P.A., Marincowitz, C., Sutton, L., Pilbery, R., Hopfgartner, F., Mazumdar, S., Campbell, R., Stone, T., Thomas, B., Bell, F., Turner, J., Biggs, K., Petrie, J., Goodacre, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420071/
https://www.ncbi.nlm.nih.gov/pubmed/36327887
http://dx.doi.org/10.1016/j.compbiomed.2022.106024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420071/
https://www.ncbi.nlm.nih.gov/pubmed/36327887
http://dx.doi.org/10.1016/j.compbiomed.2022.106024

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