Developing a Biosurveillance Application Ontology for Influenza-Like-Illness
نویسندگان
چکیده
Increasing biosurveillance capacity is a public health priority in both the developed and the developing world. Effective syndromic surveillance is especially important if we are to successfully identify and monitor disease outbreaks in their early stages. This paper describes the construction and preliminary evaluation of a syndromic surveillance orientated application ontology designed to facilitate the early identification of Influenza-LikeIllness syndrome from Emergency Room clinical reports using natural language processing.
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