Abstract：
BACKGROUND:PubMed is the main access to medical literature on the Internet. In order to enhance the performance of its information retrieval tools, primarily non-indexed citations, the authors propose a method: expanding users' queries using Unified Medical Language System' (UMLS) synonyms i.e. all the terms gathered under one unique Concept Unique Identifier. METHODS:This method was evaluated using queries constructed to emphasize the differences between this new method and the current PubMed automatic term mapping. Four experts assessed citation relevance. RESULTS:Using UMLS, we were able to retrieve new citations in 45.5% of queries, which implies a small increase in recall. The new strategy led to a heterogeneous 23.7% mean increase in non-indexed citation retrieved. Of these, 82% have been published less than 4 months earlier. The overall mean precision was 48.4% but differed according to the evaluators, ranging from 36.7% to 88.1% (Inter rater agreement was poor: kappa = 0.34). CONCLUSIONS:This study highlights the need for specific search tools for each type of user and use-cases. The proposed strategy may be useful to retrieve recent scientific advancement.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Griffon N,Chebil W,Rollin L,Kerdelhue G,Thirion B,Gehanno JF,Darmoni SJdoi
10.1186/1472-6947-12-12subject
Has Abstractpub_date
2012-02-29 00:00:00pages
12issn
1472-6947pii
1472-6947-12-12journal_volume
12pub_type
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