Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department

Risk prediction models to guide antibiotic prescribing: a study on adult patients with uncomplicated upper respiratory tract infections in an emergency department

Abstract Background Appropriate antibiotic prescribing is key to combating antimicrobial resistance. Upper respiratory tract infections (URTIs) are common reasons for emergency department (ED) visits and antibiotic use. Differentiating between bacterial and viral infections is not straightforward. W...

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Bibliographic Details
Main Authors: Joshua Guoxian Wong, Aung-Hein Aung, Weixiang Lian, David Chien Lye, Chee-Kheong Ooi, Angela Chow
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Antimicrobial Resistance and Infection Control
Subjects:
Adult
ED
URTI
Antibiotic prescribing
Machine learning
Prediction model
Online Access:http://link.springer.com/article/10.1186/s13756-020-00825-3

Internet

http://link.springer.com/article/10.1186/s13756-020-00825-3

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