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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: 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.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2019
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Article
Acesso em linha: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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