Analysis of False Positive Errors of an Acute Respiratory Infection Text Classifier due to Contextual Features

Text classifiers have been used for biosurveillance tasks to identify patients with diseases or conditions of interest. When compared to a clinical reference standard of 280 cases of Acute Respiratory Infection (ARI), a text classifier consisting of simple rules and NegEx plus string matching for sp...

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Detalles Bibliográficos
Autores principales: South, Brett R., Shen, Shuying, Chapman, Wendy W., Delisle, Sylvain, Samore, Matthew H., Gundlapalli, Adi V.
Formato: Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2010
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041533/
https://www.ncbi.nlm.nih.gov/pubmed/21347150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3041533/
https://www.ncbi.nlm.nih.gov/pubmed/21347150

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