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.
Year
Venue
Keywords
2006
AMIA
natural language processing,algorithms
Field
DocType
ISSN
World Wide Web,Information retrieval,Computer science,Natural language user interface,Gold standard,MEDLINE
Conference
1942-597X
Citations 
PageRank 
References 
2
0.67
0
Authors
5
Name
Order
Citations
PageRank
Paul A. Fontelo13320.57
Fang Liu27316.13
Michael Ackerman3305.68
Connie M Schardt420.67
Sheri A Keitz520.67