Article

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

2022-07-02

Abstract excerpt

<h4>Background</h4> 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) serve as powerful tools for this problem as they provide clear maps of probabilistic relationships between vari...

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Literature Corpus work: e26c5132-3f7a-536f-bb64-1c10b9d0aff6
DOI: 10.1101/2022.07.01.22277170

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