Chinese chief complaint classification for syndromic surveillance

Hsin Min Lu, Chwan Chuen King, Tsung Shu Wu, Fuh Yuan Shih, Jin Yi Hsiao, Daniel Zeng, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


There is a critical need for the development of chief complaint (CC) classification systems capable of processing non-English CCs as syndromic surveillance is being increasingly practiced around the world. In this paper, we report on an ongoing effort to develop a Chinese CC classification system based on the analysis of Chinese CCs collected from hospitals in Taiwan. We found that Chinese CCs contain important symptom-related information and provide a valid source of information for syndromic surveillance. Our technical approach consists of two key steps: (a) mapping Chinese CCs to English CCs using a mutual information-based mapping method, and (b) reusing existing English CC classification systems to process translated Chinese CCs. We demonstrate the effectiveness of this proposed approach through a preliminary evaluation study using a real-world dataset.

Original languageEnglish (US)
Title of host publicationIntelligence and Security Informatics
Subtitle of host publicationBiosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings
Number of pages12
ISBN (Print)9783540726074
StatePublished - 2007
Event2nd NSF BioSurveillance Workshop, BioSurveillance 2007 - New Brunswick, NJ, United States
Duration: May 22 2007May 22 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd NSF BioSurveillance Workshop, BioSurveillance 2007
Country/TerritoryUnited States
CityNew Brunswick, NJ


  • Chinese chief complaints
  • Medical ontology
  • Multilingual chief complaint classification
  • Mutual information
  • Syndromic surveillance
  • UMLS

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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