Cargando…
448. Can Electronic Clinical Notes Identify Travelers with Zika?
BACKGROUND: Travel history can help differentiate a public health emergency from a travel-related infection by providing information on exposure but such information is often available only in unstructured clinical documents. We explored the feasibility extracting these mentions from the electronic...
Autores principales: | Peterson, Kelly, Denhalter, Daniel, Patterson, Olga V, Jones, Makoto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6255520/ http://dx.doi.org/10.1093/ofid/ofy210.457 |
Ejemplares similares
-
Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation
por: Peterson, Kelly S, et al.
Publicado: (2021) -
2516. Predictors of Zika Virus Disease Severity Within Veterans Affairs (VA)
por: Lewis, Julia, et al.
Publicado: (2018) -
1083. Long-Term Prognosis of 448 Infectious Endocarditis Followed by an Endocarditis Team
por: Camou, Fabrice, et al.
Publicado: (2018) -
MED34/448: The Networked Health-Care Environment of the Future: Requirements for new human abilities
por: Patel, V, et al.
Publicado: (1999) -
ANGT_HUMAN[448–462], an Anorexigenic Peptide Identified Using Plasma Peptidomics
por: Sasaki, Sayaka, et al.
Publicado: (2022)