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

doi:10.1007/978-3-540-72608-1_2

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 proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	Intelligence and Security Informatics
Subtitle of host publication	Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings
Publisher	Springer-Verlag
Pages	11-22
Number of pages	12
ISBN (Print)	9783540726074
DOIs	https://doi.org/10.1007/978-3-540-72608-1_2
State	Published - 2007
Event	2nd NSF BioSurveillance Workshop, BioSurveillance 2007 - New Brunswick, NJ, United States Duration: May 22 2007 → May 22 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4506 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	2nd NSF BioSurveillance Workshop, BioSurveillance 2007
Country/Territory	United States
City	New Brunswick, NJ
Period	5/22/07 → 5/22/07

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)

Access to Document

10.1007/978-3-540-72608-1_2

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

Chinese chief complaint classification for syndromic surveillance. / Lu, Hsin Min; King, Chwan Chuen; Wu, Tsung Shu; Shih, Fuh Yuan; Hsiao, Jin Yi; Zeng, Daniel; Chen, Hsinchun.

Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings. Springer-Verlag, 2007. p. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4506 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lu, HM, King, CC, Wu, TS, Shih, FY, Hsiao, JY, Zeng, D & Chen, H 2007, Chinese chief complaint classification for syndromic surveillance. in Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4506 LNCS, Springer-Verlag, pp. 11-22, 2nd NSF BioSurveillance Workshop, BioSurveillance 2007, New Brunswick, NJ, United States, 5/22/07. https://doi.org/10.1007/978-3-540-72608-1_2

Lu HM, King CC, Wu TS, Shih FY, Hsiao JY, Zeng D et al. Chinese chief complaint classification for syndromic surveillance. In Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings. Springer-Verlag. 2007. p. 11-22. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-72608-1_2

Lu, Hsin Min ; King, Chwan Chuen ; Wu, Tsung Shu ; Shih, Fuh Yuan ; Hsiao, Jin Yi ; Zeng, Daniel ; Chen, Hsinchun. / Chinese chief complaint classification for syndromic surveillance. Intelligence and Security Informatics: Biosurveillance - Second NSF Workshop, BioSurveillance 2007, Proceedings. Springer-Verlag, 2007. pp. 11-22 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AB - 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.

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Chinese chief complaint classification for syndromic surveillance

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Keywords

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