title: Modeling the relationship between search terms in clinical queries.
abstract: We designed hedges for clinical queries sent to MEDLINE and Google in an attempt to explicitly model the relationship, such as treatment or diagnosis, between search terms. A pilot evaluation suggested that mean average precision (MAP) improved for a precomputed diagnostic query but not for a precomputed treatment query. An important limitation to this approach is that target resources do not explicitly model these relationships.
authors.affiliation: VA Palo Alto Health Care System, Palo Alto, CA, USA.
authors.forename: Roni F
authors.initials: RF
authors.lastname: Zeiger
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Stave
authors.forename: Florian
authors.initials: F
authors.lastname: Schmitzberger
authors.forename: Lawrence M
authors.initials: LM
authors.lastname: Fagan
mesh_terms: D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D016239:MEDLINE; D008962:Models, Theoretical; D010865:Pilot Projects; D011014:Pneumonia / Q000188:drug therapy; D013256:Steroids / Q000627:therapeutic use
chemical_list: D013256:Steroids