Multilingual chief complaint classification for syndromic surveillance: An experiment with Chinese chief complaints

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Multilingual chief complaint classification for syndromic surveillance: An experiment with Chinese chief complaints

PURPOSE Syndromic surveillance is aimed at early detection of disease outbreaks. An important data source for syndromic surveillance is free-text chief complaints (CCs), which may be recorded in different languages. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories to facilitate subsequent data aggregation and analysis. Despite the fact that syndr...

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Emergency department free-text chief complaints (CCs) are a major data source for syndromic surveillance. CCs need to be classified into syndromic categories for subsequent automatic analysis. However, the lack of a standard vocabulary and high-quality encodings of CCs hinder effective classification. This paper presents a new ontology-enhanced automatic CC classification approach. Exploiting s...

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Automated Syndromic Classifi cation of Chief Complaint Records

yndromic surveillance, a medical surveillance approach that bins data into broadly defi ned syndrome groups, has drawn increasing interest in recent years for the early detection of disease outbreaks for both public health and bioterrorism defense. Emergency department chief complaint records are an attractive data source for syndromic surveillance owing to their timeliness and ready availabili...

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Detecting Changes in Chief Complaint Word Count: Effects on Syndromic Surveillance

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ژورنال

عنوان ژورنال: International Journal of Medical Informatics

سال: 2009

ISSN: 1386-5056

DOI: 10.1016/j.ijmedinf.2008.08.004