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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Hlavní autoři: South, Brett R., Shen, Shuying, Chapman, Wendy W., Delisle, Sylvain, Samore, Matthew H., Gundlapalli, Adi V.
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Informatics Association 2010
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3041533/
https://ncbi.nlm.nih.gov/pubmed/21347150
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