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Improving information retrieval using Medical Subject Headings Concepts: a test case on rare and chronic diseases.

机译:使用医学主题词概念改善信息检索:关于罕见和慢性疾病的测试案例。

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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.The study assesses the benefit of using MeSH Concepts for indexing and information retrieval.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.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.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.
机译:随着更多科学工作的发表,重要的是要增加对生物医学文献的访问。自2000年以来,当引入医学主题词(MeSH)概念时,MeSH词库就基于概念。尽管如此,信息检索仍在MeSH描述符或补充概念级别进行。本研究评估了使用MeSH概念进行索引和信息检索的好处。针对32种罕见病和22种慢性病建立了三组查询: (1)使用PubMed自动术语映射(ATM),(2)使用法语健康互联网(CISMeF)ATM的目录和索引,以及(3)推断应使用MeSH概念建立索引的MEDLINE引文。类型3查询与第1类或第2类查询相比,检索到的结果要少得多(约18,000次引用,罕见疾病为200,000次;慢性疾病为300,000次引用,而200万次)。对于这两种疾病,CISMeF ATM的精度也优于PubMed ATM。理论上,使用MeSH Concept索引代替ATM可以在当前索引策略下提高检索性能。但是,使用MeSH Concept信息检索和索引规则将是一种根本上更好的方法。这些修改已在CISMeF搜索引擎中实现。

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