Identification of clinical and urine biomarkers for uncomplicated urinary tract infection using machine learning algorithms

Women with uncomplicated urinary tract infection (UTI) symptoms are commonly treated with empirical antibiotics, resulting in overuse of antibiotics, which promotes antimicrobial resistance. Available diagnostic tools are either not cost-effective or diagnostically sub-optimal. Here, we identified c...

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Détails bibliographiques
Publié dans:Sci Rep
Auteurs principaux: Gadalla, Amal A. H., Friberg, Ida M., Kift-Morgan, Ann, Zhang, Jingjing, Eberl, Matthias, Topley, Nicholas, Weeks, Ian, Cuff, Simone, Wootton, Mandy, Gal, Micaela, Parekh, Gita, Davis, Paul, Gregory, Clive, Hood, Kerenza, Hughes, Kathryn, Butler, Christopher, Francis, Nick A.
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2019
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6928162/
https://ncbi.nlm.nih.gov/pubmed/31873085
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-55523-x
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