Predicting urinary tract infections in the emergency department with machine learning

BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24–48 hours after an ED visit, diagnosis and treatment decisions...

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Detalles Bibliográficos
Autores principales: Taylor, R. Andrew, Moore, Christopher L., Cheung, Kei-Hoi, Brandt, Cynthia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841824/
https://www.ncbi.nlm.nih.gov/pubmed/29513742
http://dx.doi.org/10.1371/journal.pone.0194085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5841824/
https://www.ncbi.nlm.nih.gov/pubmed/29513742
http://dx.doi.org/10.1371/journal.pone.0194085

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