Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness (ILI).

Brett R. South, Shobha Phansalkar, Ashwin Deepak Swaminathan, Sylvain Delisle, Trish Perl, Matthew H. Samore

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish (US)
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - Dec 1 2007

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Veterans
Human Influenza
Unified Medical Language System
Electronic Health Records

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness (ILI). / South, Brett R.; Phansalkar, Shobha; Swaminathan, Ashwin Deepak; Delisle, Sylvain; Perl, Trish; Samore, Matthew H.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 01.12.2007.

Research output: Contribution to journalArticle

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