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Updated: Jul 2, 2026

High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness
Brett R South1, Shobha Phansalkar, Ashwin Deepak Swaminathan
1V A Salt Lake City Health Care system and the Department of Medicine, University of Utah, School of Medicine, Salt Lake City, UT, USA.
Abstract:
We tested automated detection of influenza-like illness (ILI) from free-text clinician notes extracted from the VA electronic medical record using a simple negation algorithm coupled with string matching for relevant ILI symptoms mapped to UMLS concepts. Additionally, we documented negation problems encountered and adaptations made to the negation algorithm when applied to the full texts of a diverse array of VA note types and templates.
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