在对虚拟医疗社区用户关系进行分析的基础上，提出一种基于医学主题词表的用户相似度计算方法。
Based on the analysis of user relationships in the virtual medical communities, the paper proposes a user similarity computing algorithm based on Medical Subject Headings (MeSH).
目的：探讨医学文献检索中如何对检索词(主题词和自由词等)进行适当的选择。
Aim: to explore how to select suitable searching words (subject word and random word) in medical document retrieval.
主题词：循证医学；系统分析；综述文献。
Subject words: evidence-based medicine; systems analysis; review literature.
该系统从文献的题名中抽取并识别主题模式，相当有效地解决了医学科技文献的自动标引中涉及的主题词和副主题词的组配问题。
The system has a relatively high performance in subject indexing problem, which involves the procedure of combination of medical headings and subheadings.
该系统从文献的题名中抽取并识别主题模式，相当有效地解决了医学科技文献的自动标引中涉及的主题词和副主题词的组配问题。
The system has a relatively high performance in subject indexing problem, which involves the procedure of combination of medical headings and subheadings.
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