Predicting pathogens causing ventilator-associated pneumonia using a Bayesian network model | Zendy

Stefan Visscher | Zendy; Elize M. Kruisheer | Zendy; Carolina A. M. Schurink | Zendy; Peter Lucas | Zendy; Marc J. M. Bonten | Zendy

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Predicting pathogens causing ventilator-associated pneumonia using a Bayesian network model

Author(s) -

Stefan Visscher,

Elize M. Kruisheer,

Carolina A. M. Schurink,

Peter Lucas,

Marc J. M. Bonten

Publication year - 2008

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dkn141

Subject(s) - streptococcus pneumoniae , antibiotics , pneumonia , ventilator associated pneumonia , pathogen , community acquired pneumonia , acinetobacter , medicine , biology , receiver operating characteristic , respiratory tract infections , microbiology and biotechnology , respiratory system

We previously validated a Bayesian network (BN) model for diagnosing ventilator-associated pneumonia (VAP). Here, we report on the performance of the model to predict microbial causes of VAP and to select antibiotics.

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