17. Comparative Assessment of a Machine Learning Model and Rectal Swab Surveillance to Predict Hospital Onset Clostridioides difficile

BACKGROUND: Hospital onset Clostridioides difficile infection (HO-CDI) is associated with significant morbidity and mortality. Screening individuals at risk could help limit transmission, however swab-based surveillance for HO-CDI is resource intensive. Applied to electronic health records (EHR) dat...

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Detalles Bibliográficos
Autores principales: Ötleş, Erkin, Oh, Jeeheh, Patel, Alieysa, Keidan, Micah, Young, Vincent B, Rao, Krishna, Wiens, Jenna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Oral Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644772/
http://dx.doi.org/10.1093/ofid/ofab466.017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644772/
http://dx.doi.org/10.1093/ofid/ofab466.017

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