Ontology-enhanced automatic chief complaint classification for syndromic surveillance

Journal of Biomedical Informatics

Volumn 41, Issue 2, 2008, Pages 340-356

  Lu, Hsin Min ^a   Zeng, Daniel ^a,b   Trujillo, Lea ^c   Komatsu, Ken ^c   Chen, Hsinchun ^a  

^a UNIVERSITY OF ARIZONA   (United States)

^b INSTITUTE OF AUTOMATION   (China)

^c Arizona Department   (United States)

Author keywords

Bootstrapping; Chief complaint classification; Free text chief complaints; Medical ontology; Statistical evaluation; Syndromic surveillance; UMLS

Indexed keywords

DATABASE SYSTEMS; IMAGE CODING; MEDICAL APPLICATIONS; PROBLEM SOLVING;

BOOTSTRAPPING; COMPLAINT CLASSIFICATION; FREE TEXT CHIEF COMPLAINTS; STATISTICAL EVALUATION; SYNDROMIC SURVEILLANCE;

ONTOLOGY;

ARTICLE; AUTOANALYSIS; BOOTSTRAPPING; DISEASE CLASSIFICATION; EMERGENCY WARD; KNOWLEDGE BASE; PRIORITY JOURNAL; SEMANTICS; SENSITIVITY AND SPECIFICITY; SYMPTOMATOLOGY; SYNDROME;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS, CLINICAL; DISEASE OUTBREAKS; EMERGENCY MEDICAL SERVICES; PATTERN RECOGNITION, AUTOMATED; POPULATION SURVEILLANCE;

EID: 40049088436     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2007.08.009     Document Type: Article

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