Knowledge-based Methods to Help Clinicians Find Answers in MEDLINE | Zendy

Charles Sneiderman | Zendy; Dina DemnerFushman | Zendy; Marcelo Fiszman | Zendy; Nicolas Ide | Zendy; Thomas C. Rindflesch | Zendy

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Knowledge-based Methods to Help Clinicians Find Answers in MEDLINE

Author(s) -

Charles Sneiderman,

Dina DemnerFushman,

Marcelo Fiszman,

Nicolas Ide,

Thomas C. Rindflesch

Publication year - 2007

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m2407

Subject(s) - medline , computer science , information retrieval , preference , domain (mathematical analysis) , medicine , statistics , mathematical analysis , mathematics , political science , law

Large databases of published medical research can support clinical decision making by providing physicians with the best available evidence. The time required to obtain optimal results from these databases using traditional systems often makes accessing the databases impractical for clinicians. This article explores whether a hybrid approach of augmenting traditional information retrieval with knowledge-based methods facilitates finding practical clinical advice in the research literature.

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