Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19

BACKGROUND: Bacterial infection has been challenging to diagnose in patients with COVID-19. We developed and evaluated supervised machine learning algorithms to support the diagnosis of secondary bacterial infection in hospitalized patients during the COVID-19 pandemic. METHODS: Inpatient data at th...

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Detalles Bibliográficos
Autores principales: Rawson, Timothy M, Hernandez, Bernard, Wilson, Richard C, Ming, Damien, Herrero, Pau, Ranganathan, Nisha, Skolimowska, Keira, Gilchrist, Mark, Satta, Giovanni, Georgiou, Pantelis, Holmes, Alison H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928888/
https://www.ncbi.nlm.nih.gov/pubmed/34192255
http://dx.doi.org/10.1093/jacamr/dlab002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928888/
https://www.ncbi.nlm.nih.gov/pubmed/34192255
http://dx.doi.org/10.1093/jacamr/dlab002

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