Artificial Intelligence in Medicine
MPLUS: a probabilistic medical language understanding system
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Journal of Biomedical Informatics
Evaluation of preprocessing techniques for chief complaint classification
Journal of Biomedical Informatics
Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense
Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense
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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.