A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice-Reference-Cited by-同舟云学术

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A step forward in the diagnosis of urinary tract infections: from machine learning to clinical practice

Published:2024-12 Issue: Volume:24 Page:533-541
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Flores Emilio,Martínez-Racaj Laura,Blasco Álvaro,Diaz Elena,Esteban Patricia,López-Garrigós Maite,Salinas María

Funder

Abbott Germany

Publisher

Elsevier BV

Reference34 articles.

1. An introduction to the epidemiology and burden of urinary tract infections;Medina;Ther Adv Urol,2019

2. Clinical practice guidelines for the antibiotic treatment of community-acquired urinary tract infections;Wie;Infect Chemother,2018

3. Disease burden and long-term trends of urinary tract infections: a worldwide report;Yang;Front Public Health,2022

4. Predicting urinary tract infections in the emergency department with machine learning;Taylor;PLoS One,2018

5. World Health Organization. Global Antimicrobial Resistance and Use Surveillance System (GLASS) Report 2022. World Health Organization, editor. Geneva: Creative commons; 2022.

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