J Biomed Inform - Using chief complaints for syndromic surveillance: a review of chief complaint based classifiers in North America.

Tópicos

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Resumo

A major goal of Natural Language Processing in the public health informatics domain is the automatic extraction and encoding of data stored in free text patient records. This extracted data can then be utilized by computerized systems to perform syndromic surveillance. In particular, the chief complaint--a short string that describes a patient's symptoms--has come to be a vital resource for syndromic surveillance in the North American context due to its near ubiquity. This paper reviews fifteen systems in North America--at the city, county, state and federal level--that use chief complaints for syndromic surveillance.

Resumo Limpo

major goal natur languag process public health informat domain automat extract encod data store free text patient record extract data can util computer system perform syndrom surveil particular chief complainta short string describ patient symptomsha come vital resourc syndrom surveil north american context due near ubiqu paper review fifteen system north americaat citi counti state feder levelthat use chief complaint syndrom surveil

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