title: askMEDLINE: a report on a year-long experience.
abstract: askMEDLINE is a free-text, natural language search tool for MEDLINE/PubMed. Since its introduction a year ago, more than 15,000 queries have been received, mostly in the form of questions or complex phrases. Questions on therapy were the most searched. We review our yearlong experience, an updated evaluation using 'gold standard' questions selected by EBM experts and discuss added features.
authors.affiliation: Office of High Performance Computing and Communications, National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA.
authors.forename: Paul
authors.initials: P
authors.lastname: Fontelo
authors.forename: Fang
authors.initials: F
authors.lastname: Liu
authors.forename: Michael
authors.initials: M
authors.lastname: Ackerman
authors.forename: Connie M
authors.initials: CM
authors.lastname: Schardt
authors.forename: Sheri A
authors.initials: SA
authors.lastname: Keitz
mesh_terms: D000465:Algorithms; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D009323:Natural Language Processing; D039781:PubMed; D014584:User-Computer Interface