Optimizing A syndromic surveillance text classifier for influenza-like illness: Does document source matter?

Brett R. South, Wendy W. Chapman, Sylvain Delisle, Shuying Shen, Ericka Kalp, Trish Perl, Matthew H. Samore, Adi V. Gundlapalli

Research output: Contribution to journalArticle

Abstract

Syndromic surveillance systems that incorporate electronic free-text data have primarily focused on extracting concepts of interest from chief complaint text, emergency department visit notes, and nurse triage notes. Due to availability and access, there has been limited work in the area of surveilling the full text of all electronic note documents compared with more specific document sources. This study provides an evaluation of the performance of a text classifier for detection of influenza-like illness (ILI) by document sources that are commonly used for biosurveillance by comparing them to routine visit notes, and a full electronic note corpus approach. Evaluating the performance of an automated text classifier for syndromic surveillance by source document will inform decisions regarding electronic textual data sources for potential use by automated biosurveillance systems. Even when a full electronic medical record is available, commonly available surveillance source documents provide acceptable statistical performance for automated ILI surveillance.

Original languageEnglish (US)
Pages (from-to)692-696
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of 'Optimizing A syndromic surveillance text classifier for influenza-like illness: Does document source matter?'. Together they form a unique fingerprint.

  • Cite this

    South, B. R., Chapman, W. W., Delisle, S., Shen, S., Kalp, E., Perl, T., Samore, M. H., & Gundlapalli, A. V. (2008). Optimizing A syndromic surveillance text classifier for influenza-like illness: Does document source matter? AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 692-696.