文献类型： 会议论文
第一作者： Stephanie W. Haas
作者： Stephanie W. Haas 1 ; Debbie Travers 2 ; DeepikaMahalingam 3 ; John Crouch 4 ; Javed Mostafa 5 ; Anna Waller 6 ;
作者机构： 1.School of Information and Library Science University of North Carolina at Chapel Hill shaas@email.unc.edu
2.School of Nursing University of North Carolina at Chapel Hill School of Medicine University of North Carolina at Chapel Hill dtravers@email.unc.edu
3.School of Information and Library Science University of North Carolina at Chapel Hill deep1988in@gmail.com
4.School of Medicine University of North Carolina at Chapel Hill crouchj@email.unc.edu
5.School of Information and Library Science University of North Carolina at Chapel Hill jm@unc.edu
6.School of Medicine University of North Carolina at Chapel Hill anna_waller@med.unc.edu
关键词： biosurveillance;term discovery;bootstrapping;NC DETECT
会议名称： Annual meeting of the American Society for Information Science and Technology
主办单位：
页码： 1-2
摘要： Biosurveillance depends on accurate recognition of symptoms such as fever. We describe a manual bootstrapping method for discovering fever expressions in emergency department triage notes, which will in turn serve as seed terms for automatic discovery of novel expressions.
分类号： G2
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