2218. Feasibility of Automated Prediction of Drug Resistance in Pneumonia in the Veteran Population.

BACKGROUND: To enhance antimicrobial decision-making in community-onset pneumonia, several manually calculable clinical scores have been proposed to predict drug-resistant organisms (DRPs), most commonly methicillin-resistant Staphylococcus aureus or Pseudomonas aeruginosa. The Drug Resistance in Pn...

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Detalles Bibliográficos
Autores principales: Christensen, Matthew A, Jones, Barbara E, Babbel, Danielle, Sutton, Jesse D, Spivak, Emily S, Haroldsen, Candace, Stevens, Vanessa W, Jones, Makoto M, Samore, Matthew H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810489/
http://dx.doi.org/10.1093/ofid/ofz360.1896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810489/
http://dx.doi.org/10.1093/ofid/ofz360.1896

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