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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928162/
https://www.ncbi.nlm.nih.gov/pubmed/31873085
http://dx.doi.org/10.1038/s41598-019-55523-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928162/
https://www.ncbi.nlm.nih.gov/pubmed/31873085
http://dx.doi.org/10.1038/s41598-019-55523-x

Ejemplares similares