Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed
<p>Abstract</p> <p>Background</p> <p>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 usi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2012-02-01
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| Series: | BMC Medical Informatics and Decision Making |
| Online Access: | http://www.biomedcentral.com/1472-6947/12/12 |
| _version_ | 1818528749454360576 |
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| author | Griffon Nicolas Chebil Wiem Rollin Laetitia Kerdelhue Gaetan Thirion Benoit Gehanno Jean-François Darmoni Stéfan |
| author_facet | Griffon Nicolas Chebil Wiem Rollin Laetitia Kerdelhue Gaetan Thirion Benoit Gehanno Jean-François Darmoni Stéfan |
| author_sort | Griffon Nicolas |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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).</p> <p>Conclusions</p> <p>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.</p> |
| first_indexed | 2024-12-11T06:54:03Z |
| format | Article |
| id | doaj.art-0e595c24979a4eaa9b036c9cabfe3245 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-11T06:54:03Z |
| publishDate | 2012-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-0e595c24979a4eaa9b036c9cabfe32452022-12-22T01:16:48ZengBMCBMC Medical Informatics and Decision Making1472-69472012-02-011211210.1186/1472-6947-12-12Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMedGriffon NicolasChebil WiemRollin LaetitiaKerdelhue GaetanThirion BenoitGehanno Jean-FrançoisDarmoni Stéfan<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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).</p> <p>Conclusions</p> <p>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.</p>http://www.biomedcentral.com/1472-6947/12/12 |
| spellingShingle | Griffon Nicolas Chebil Wiem Rollin Laetitia Kerdelhue Gaetan Thirion Benoit Gehanno Jean-François Darmoni Stéfan Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed BMC Medical Informatics and Decision Making |
| title | Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed |
| title_full | Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed |
| title_fullStr | Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed |
| title_full_unstemmed | Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed |
| title_short | Performance evaluation of unified medical language system<sup>®</sup>'s synonyms expansion to query PubMed |
| title_sort | performance evaluation of unified medical language system sup r sup s synonyms expansion to query pubmed |
| url | http://www.biomedcentral.com/1472-6947/12/12 |
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