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

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, using machine...

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Detalles Bibliográficos
Autores principales: Lee, Hyun-Gyu, Seo, Youngho, Kim, Ji Hye, Han, Seung Baik, Im, Jae Hyoung, Jung, Chai Young, Durey, Areum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968289/
https://www.ncbi.nlm.nih.gov/pubmed/36841917
http://dx.doi.org/10.1038/s41598-023-30290-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968289/
https://www.ncbi.nlm.nih.gov/pubmed/36841917
http://dx.doi.org/10.1038/s41598-023-30290-y

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