- Ontology-enhanced automatic chief complaint classification for syndromic surveillanceHsin Min Lu
Management Information Systems Department, The Eller College of Management, University of Arizona, 1130 E Helen Street, Room 430, P O Box 210108, Tucson, AZ 85721 0108, USA
J Biomed Inform 41:340-56. 2008..This study indicates that our ontology-enhanced approach performs significantly better than the benchmark methods in terms of sensitivity, F measure, and F2 measure...
- Multilingual chief complaint classification for syndromic surveillance: an experiment with Chinese chief complaintsHsin Min Lu
Management Information Systems Department, Eller College of Management, University of Arizona, 1130 East Helen Street, McClelland Hall 430, Tucson, Arizona 85721, USA
Int J Med Inform 78:308-20. 2009..This paper reports a multilingual CC classification effort, focusing on CCs recorded in Chinese...