@inproceedings{939edd873b284a6bbf2acca36150bbdc,
title = "Ontology-based automatic chief complaints classification for syndromic surveillance",
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.",
author = "Lu, {Hsin Min} and Daniel Zeng and Hsinchun Chen",
year = "2006",
doi = "10.1109/ICSMC.2006.384553",
language = "English (US)",
isbn = "1424401003",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1137--1142",
booktitle = "2006 IEEE International Conference on Systems, Man and Cybernetics",
note = "2006 IEEE International Conference on Systems, Man and Cybernetics ; Conference date: 08-10-2006 Through 11-10-2006",
}