2009
DOI: 10.1016/j.ijmedinf.2008.08.004
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Multilingual chief complaint classification for syndromic surveillance: An experiment with Chinese chief complaints

Abstract: Our design provides satisfactory performance in classifying Chinese CCs into syndromic categories for public health surveillance. The overall design of our system also points out a potentially fruitful direction for multilingual CC systems that need to handle languages beyond English and Chinese.

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Cited by 23 publications
(11 citation statements)
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“…In most developed settings, syndromic data is automatically retrieved from electronic systems, encrypted, archived, and processed at a secure facility, combing free text and structured electronic medical record entries [12], [27], [28],[29],[30]. Although computer and Internet use are rapidly increasing in rural China, medical records of patients’ main symptoms or chief complaints, are paper-based in most health facilities [22].…”
Section: Discussionmentioning
confidence: 99%
“…In most developed settings, syndromic data is automatically retrieved from electronic systems, encrypted, archived, and processed at a secure facility, combing free text and structured electronic medical record entries [12], [27], [28],[29],[30]. Although computer and Internet use are rapidly increasing in rural China, medical records of patients’ main symptoms or chief complaints, are paper-based in most health facilities [22].…”
Section: Discussionmentioning
confidence: 99%
“…There are additional layers of complexity introduced with chief complaint classification in multilingual settings, as the expression of chief complaint may vary between languages and cultures or where lack of familiarity with the health care encounter can limit a patient's ability to articulate the problem to a provider. There is a need for harmonization of chief complaint concepts across cultural divides to conduct regional and global emergency care research.…”
Section: Past Experiencementioning
confidence: 99%
“…In addition to medical information needs, other proposals aim to analyze administrative data and reports to assess complaints [25], emergency room use [26] or quality measures [27]. While these systems also apply NLP techniques, they do not match this analysis to medical knowledge bases or corpora because they are centered on administrative data.…”
Section: Background and Related Workmentioning
confidence: 99%