Emergency Medical Text Classifier: New system improves processing and classification of triage notes

OBJECTIVE: Automated syndrome classification aims to aid near real-time syndromic surveillance to serve as an early warning system for disease outbreaks, using Emergency Department (ED) data. We present a system that improves the automatic classification of an ED record with triage note into one or...

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Detalles Bibliográficos
Autores principales: Haas, Stephanie W., Travers, Debbie, Waller, Anna, Mahalingam, Deepika, Crouch, John, Schwartz, Todd A., Mostafa, Javed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221085/
https://www.ncbi.nlm.nih.gov/pubmed/25379126
http://dx.doi.org/10.5210/ojphi.v6i2.5469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221085/
https://www.ncbi.nlm.nih.gov/pubmed/25379126
http://dx.doi.org/10.5210/ojphi.v6i2.5469

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