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Forecasting COVID-19 Severity by Intelligent Optical Fingerprinting of Blood Sa...

Faria, SP; Carpinteiro, C; Pinto, V; Rodrigues, SM; Alves, J; Marques, F; Lourenço, M; Santos, PH; Ramos, A; Cardoso, MJ; Guimarães, JT; Rocha, S

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 predict COVID-19 disease severity immediately after diagnosis. ICU admission was the primary outcome used to define dise...


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