Predicting the causative pathogen among children with osteomyelitis using Bayesian networks – improving antibiotic selection in clinical practice

Author:

Wu Yue,McLeod Charlie,Blyth Christopher,Bowen Asha,Martin Andrew,Nicholson Ann,Mascaro Steven,Snelling Tom

Funder

Wesfarmers Centre of Vaccines & Infectious Diseases Seed Funding, Telethon Kids Institute

Early Career Fellowship from Western Australian Health Translation Network

Friends of the Institute Sabbatical Award from Telethon Kids Institute

Career Development Fellowship from the National Health and Medical Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference53 articles.

1. The changing epidemiology of osteomyelitis in children;Craigen;Bone Joint J,1992

2. Acute osteomyelitis in children;Peltola;N Engl J Med,2014

3. Community-acquired bone and joint infections in children: a 1-year prospective epidemiological study. Archives of disease in childhood;Mitha;Arch Dis Child,2014

4. A retrospective case-series of children with bone and joint infection from Northern Australia;Brischetto;Medicine,2016

5. Predictors of outcome in pediatric osteomyelitis: five years experience in a single tertiary Center;Martin;Pediatr Infect Dis J,2016

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