Predicting the causative pathogen among children with pneumonia using a causal Bayesian network

BACKGROUND: Pneumonia remains a leading cause of hospitalization and death among young children worldwide, and the diagnostic challenge of differentiating bacterial from non-bacterial pneumonia is the main driver of antibiotic use for treating pneumonia in children. Causal Bayesian networks (BNs) se...

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Detalles Bibliográficos
Autores principales: Wu, Yue, Mascaro, Steven, Bhuiyan, Mejbah, Fathima, Parveen, Mace, Ariel O., Nicol, Mark P., Richmond, Peter C., Kirkham, Lea-Ann, Dymock, Michael, Foley, David A., McLeod, Charlie, Borland, Meredith L., Martin, Andrew, Williams, Phoebe C. M., Marsh, Julie A., Snelling, Thomas L., Blyth, Christopher C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035934/
https://www.ncbi.nlm.nih.gov/pubmed/36913404
http://dx.doi.org/10.1371/journal.pcbi.1010967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035934/
https://www.ncbi.nlm.nih.gov/pubmed/36913404
http://dx.doi.org/10.1371/journal.pcbi.1010967

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