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Modeling the Relationship Between Search Terms in Clinical Queries

By Roni F. Zeiger, Christopher D. Stave, Florian Schmitzberger and Lawrence M. Fagan

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

Topics: Article
Publisher: American Medical Informatics Association
OAI identifier: oai:pubmedcentral.nih.gov:1560800
Provided by: PubMed Central
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