Ontology-based automatic chief complaints classification for syndromic surveillance

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

4 Scopus citations

Abstract

This paper presents a novel ontology-based approach to classify free-text chief complaints (CCs) into syndrome categories. This approach exploits the semantic relations in a medical ontology to address the CC word variation problem. Initial computational experiments indicate that this ontology-based approach is able to improve significantly the probability that a CC can be correctly classified as a syndrome.

Original languageEnglish (US)
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1137-1142
Number of pages6
ISBN (Print)1424401003, 9781424401000
DOIs
StatePublished - Jan 1 2006
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan, Province of China
Duration: Oct 8 2006Oct 11 2006

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2
ISSN (Print)1062-922X

Other

Other2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan, Province of China
CityTaipei
Period10/8/0610/11/06

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Lu, H. M., Zeng, D., & Chen, H. (2006). Ontology-based automatic chief complaints classification for syndromic surveillance. In 2006 IEEE International Conference on Systems, Man and Cybernetics (pp. 1137-1142). [4274001] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.2006.384553