Forecasting COVID-19 Severity by Intelligent Optical Fingerprinting of Blood Samples

Forecasting COVID-19 disease severity is key to supporting clinical decision making and assisting resource allocation, particularly in intensive care units (ICUs). Here, we investigated the utility of time- and frequency-related features of the backscattered signal of serum patient samples to predic...

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Detalles Bibliográficos
Autores principales: Faria, Simão P., Carpinteiro, Cristiana, Pinto, Vanessa, Rodrigues, Sandra M., Alves, José, Marques, Filipe, Lourenço, Marta, Santos, Paulo H., Ramos, Angélica, Cardoso, Maria J., Guimarães, João T., Rocha, Sara, Sampaio, Paula, Clifton, David A., Mumtaz, Mehak, Paiva, Joana S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392709/
https://www.ncbi.nlm.nih.gov/pubmed/34441244
http://dx.doi.org/10.3390/diagnostics11081309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392709/
https://www.ncbi.nlm.nih.gov/pubmed/34441244
http://dx.doi.org/10.3390/diagnostics11081309

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