Machine learning model for predicting ciprofloxacin resistance and presence of ESBL in patients with UTI in the ED

Abstract Increasing antimicrobial resistance in uropathogens is a clinical challenge to emergency physicians as antibiotics should be selected before an infecting pathogen or its antibiotic resistance profile is confirmed. We created a predictive model for antibiotic resistance of uropathogens, usin...

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Bibliographic Details
Main Authors: Hyun-Gyu Lee, Youngho Seo, Ji Hye Kim, Seung Baik Han, Jae Hyoung Im, Chai Young Jung, Areum Durey
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-30290-y