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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...
Autores principales: | Rockenschaub, Patrick, Gill, Martin J., McNulty, Dave, Carroll, Orlagh, Freemantle, Nick, Shallcross, Laura |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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