Hsin Min Lu

Summary

Affiliation: University of Arizona
Country: USA

Publications

  1. ncbi Ontology-enhanced automatic chief complaint classification for syndromic surveillance
    Hsin 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
  2. ncbi Multilingual chief complaint classification for syndromic surveillance: an experiment with Chinese chief complaints
    Hsin 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

Detail Information

Publications2

  1. ncbi Ontology-enhanced automatic chief complaint classification for syndromic surveillance
    Hsin 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...
  2. ncbi Multilingual chief complaint classification for syndromic surveillance: an experiment with Chinese chief complaints
    Hsin 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...