Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department?

Urinary tract infections (UTIs) are a major cause of emergency hospital admissions, but it remains challenging to diagnose them reliably. Application of machine learning (ML) to routine patient data could support clinical decision-making. We developed a ML model predicting bacteriuria in the ED and...

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Detalles Bibliográficos
Autores principales: Rockenschaub, Patrick, Gill, Martin J., McNulty, Dave, Carroll, Orlagh, Freemantle, Nick, Shallcross, Laura
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/PMC10263340/
https://www.ncbi.nlm.nih.gov/pubmed/37310941
http://dx.doi.org/10.1371/journal.pdig.0000261

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263340/
https://www.ncbi.nlm.nih.gov/pubmed/37310941
http://dx.doi.org/10.1371/journal.pdig.0000261

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