A Dynamic Bayesian Model for Identifying High-Mortality Risk in Hospitalized COVID-19 Patients

A Dynamic Bayesian Model for Identifying High-Mortality Risk in Hospitalized COVID-19 Patients

As Coronavirus Disease 2019 (COVID-19) hospitalization rates remain high, there is an urgent need to identify prognostic factors to improve patient outcomes. Existing prognostic models mostly consider the impact of biomarkers at presentation on the risk of a single patient outcome at a single follow...

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Bibliographic Details
Main Authors: Amir Momeni-Boroujeni, Rachelle Mendoza, Isaac J. Stopard, Ben Lambert, Alejandro Zuretti
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Infectious Disease Reports
Subjects:
SARS-CoV-2
prognostication
triage
time trends
Markov model
Online Access:https://www.mdpi.com/2036-7449/13/1/27

Internet

https://www.mdpi.com/2036-7449/13/1/27

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