Hybrid Bayesian Network-Based Modeling: COVID-19-Pneumonia Case

The primary goal of this paper is to develop an approach for predicting important clinical indicators, which can be used to improve treatment. Using mathematical predictive modeling algorithms, we examined the course of COVID-19-based pneumonia (CP) with inpatient treatment. Algorithms used include...

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Detalles Bibliográficos
Autores principales: Derevitskii, Ilia Vladislavovich, Mramorov, Nikita Dmitrievich, Usoltsev, Simon Dmitrievich, Kovalchuk, Sergey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409816/
https://www.ncbi.nlm.nih.gov/pubmed/36013274
http://dx.doi.org/10.3390/jpm12081325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409816/
https://www.ncbi.nlm.nih.gov/pubmed/36013274
http://dx.doi.org/10.3390/jpm12081325

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