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  • 标题:Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases
  • 作者:Stéfan J. Darmoni , MD, PhD
  • 期刊名称:Bulletin of the Medical Library Association
  • 印刷版ISSN:0025-7338
  • 出版年度:2012
  • 卷号:100
  • 期号:3
  • 页码:176-183
  • DOI:10.3163/1536-5050.100.3.007
  • 语种:English
  • 出版社:Medical Library Association
  • 摘要:Background: As more scientific work is published, it is important to improve access to the biomedical literature. Since 2000, when Medical Subject Headings (MeSH) Concepts were introduced, the MeSH Thesaurus has been concept based. Nevertheless, information retrieval is still performed at the MeSH Descriptor or Supplementary Concept level. Objective: The study assesses the benefit of using MeSH Concepts for indexing and information retrieval. Methods: Three sets of queries were built for thirty-two rare diseases and twenty-two chronic diseases: (1) using PubMed Automatic Term Mapping (ATM), (2) using Catalog and Index of French-language Health Internet (CISMeF) ATM, and (3) extrapolating the MEDLINE citations that should be indexed with a MeSH Concept. Results: Type 3 queries retrieve significantly fewer results than type 1 or type 2 queries (about 18,000 citations versus 200,000 for rare diseases; about 300,000 citations versus 2,000,000 for chronic diseases). CISMeF ATM also provides better precision than PubMed ATM for both disease categories. Discussion: Using MeSH Concept indexing instead of ATM is theoretically possible to improve retrieval performance with the current indexing policy. However, using MeSH Concept information retrieval and indexing rules would be a fundamentally better approach. These modifications have already been implemented in the CISMeF search engine. Highlights The introduction of Medical Subject Headings (MeSH) Concepts (creating subgroups of entry terms within MeSH Descriptors) has not changed overall indexing or retrieval practices in MEDLINE. The use of MeSH Concepts could significantly improve the precision of retrieval for PubMed searches related to rare and chronic diseases. In-depth knowledge of MeSH is not required for users to benefit from improved search performance using MeSH Concepts. Implications Information professionals can use their advanced knowledge of the MeSH thesaurus to make changes to indexing and retrieval practices that are transparent to users and enhance their search experience. Information professionals can use MeSH Concepts to conduct more precise searches in some cases, for example, rare and chronic diseases.
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