Modeling the relationship between search terms in clinical queries.

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.