2238. Estimating the impact of antibiotic exposure on antibiotic resistance in uncomplicated UTI using machine learning causal inference

BACKGROUND: Incorporating an antibiotic’s propensity for engendering resistance to itself and other antibiotics is a potentially useful strategy for preventing antimicrobial resistance (AMR), but prospective studies have been difficult to generalize to outpatients and retrospective studies are prone...

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Detalles Bibliográficos
Autores principales: Kanjilal, Sanjat, Jeong, Hyewon, Ma, Yidan, Wei, Alex, Yang, Kexin, Sontag, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752521/
http://dx.doi.org/10.1093/ofid/ofac492.1856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752521/
http://dx.doi.org/10.1093/ofid/ofac492.1856

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