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

1 Scopus citations

Abstract

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
PublisherSpringer-Verlag
Pages11-22
Number of pages12
ISBN (Print)9783540726074
DOIs
StatePublished - Jan 1 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

Other

Other2nd NSF BioSurveillance Workshop, BioSurveillance 2007
CountryUnited States
CityNew Brunswick, NJ
Period5/22/075/22/07

Keywords

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Chinese chief complaint classification for syndromic surveillance'. Together they form a unique fingerprint.

  • Cite this

    Lu, H. M., King, C. C., Wu, T. S., Shih, F. Y., Hsiao, J. Y., Zeng, D., & Chen, H. (2007). Chinese chief complaint classification for syndromic surveillance. In Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings (pp. 11-22). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4506 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-540-72608-1_2