Literature DB >> 17238542

askMEDLINE: a report on a year-long experience.

Paul Fontelo1, Fang Liu, Michael Ackerman, Connie M Schardt, Sheri A Keitz.   

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.

Mesh：

Year:  2006        PMID： 17238542      PMCID： PMC1839379     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  2 in total

Review 1.  How do primary care physicians seek answers to clinical questions? A literature review.

Authors:  Herma C H Coumou; Frans J Meijman
Journal:  J Med Libr Assoc       Date:  2006-01

2.  askMEDLINE: a free-text, natural language query tool for MEDLINE/PubMed.

Authors:  Paul Fontelo; Fang Liu; Michael Ackerman
Journal:  BMC Med Inform Decis Mak       Date:  2005-03-10       Impact factor: 2.796
  2 in total
  3 in total

1.  Finding translational science publications in MEDLINE/PubMed with translational science filters.

Authors:  Paul Fontelo; Fang Liu
Journal:  Clin Transl Sci       Date:  2011-11-07       Impact factor: 4.689

Review 2.  A systematic review of healthcare applications for smartphones.

Authors:  Abu Saleh Mohammad Mosa; Illhoi Yoo; Lincoln Sheets
Journal:  BMC Med Inform Decis Mak       Date:  2012-07-10       Impact factor: 2.796

Review 3.  PubMed and beyond: a survey of web tools for searching biomedical literature.

Authors:  Zhiyong Lu
Journal:  Database (Oxford)       Date:  2011-01-18       Impact factor: 3.451
  3 in total

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