Cargando…
Using Machine Learning and the Electronic Health Record to Predict Complicated Clostridium difficile Infection
BACKGROUND: Clostridium (Clostridioides) difficile infection (CDI) is a health care–associated infection that can lead to serious complications. Potential complications include intensive care unit (ICU) admission, development of toxic megacolon, need for colectomy, and death. However, identifying th...
Autores principales: | Li, Benjamin Y, Oh, Jeeheh, Young, Vincent B, Rao, Krishna, Wiens, Jenna |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527086/ https://www.ncbi.nlm.nih.gov/pubmed/31139672 http://dx.doi.org/10.1093/ofid/ofz186 |
Ejemplares similares
-
17. Comparative Assessment of a Machine Learning Model and Rectal Swab Surveillance to Predict Hospital Onset Clostridioides difficile
por: Ötleş, Erkin, et al.
Publicado: (2021) -
Clostridioides difficile infection surveillance in intensive care units and oncology wards using machine learning
por: Ötleş, Erkin, et al.
Publicado: (2023) -
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile
por: Wiens, Jenna, et al.
Publicado: (2014) -
A Predictive Model to Identify Complicated Clostridiodes difficile Infection
por: Berinstein, Jeffrey A, et al.
Publicado: (2023) -
Incidence and Costs of Clostridium difficile Infections in Canada
por: Levy, Adrian R., et al.
Publicado: (2015)