This paper takes rare diseases and chronic diseases as search objectives, MEDLINE as the data source, and MeSH as main selecting standards. Then it makes search experiments using three different search strategies in PubMed search engine, including PubMed Automatic Term Mapping (ATM), Catalog and Index of French-language Health Internet (CISMeF) ATM, and extrapolating the MEDLINE citations that should be indexed with a MeSH Concept. Finally, it makes a comparative analysis on the retrieval results and precisions of three sets of queries that are built for them. The results show that higher retrieval precision can be obtained with queries based on MeSH Concepts rather than MeSH Descriptors which is the current default. It hopes that the experiment can provide a useful reference for the development of medical document retrieval system in China.
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