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Perceiving the Usefulness of the National Cancer Institute Metathesaurus for Enriching NCIt with Topological Patterns

机译：感知国家癌症研究所Metathesaurus以拓扑模式丰富NCIT的有用性

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摘要

The National Cancer Institute Thesaurus (NCIt), developed and maintained by the National Cancer Institute, is an important reference terminology in the cancer domain. As a controlled terminology needs to continuously incorporate new concepts to enrich its conceptual content, automated and semi-automated methods for identifying potential new concepts are in high demand. We have previously developed a topological-pattern-based method for identifying new concepts in a controlled terminology to enrich another terminology, using the UMLS Metathesaurus. In this work, we utilize this method with the National Cancer Institute Metathesaurus to identify new concepts for NCIt. While previous work was only oriented towards identifying candidate import concepts for human review, we are now also adding an algorithmic method to evaluate candidate concepts and reject a well defined group of them.
机译：国家癌症研究所的国家癌症研究所（NCIT）是癌症领域的重要参考术语。由于受控术语需要不断纳入新的概念来丰富其概念内容，用于识别潜在的新概念的自动化和半自动方法是高需求。我们以前开发了一种基于拓扑模式的方法，用于使用UMLS Metathesaurus来识别受控术语中的新概念来丰富另一种术语。在这项工作中，我们将这种方法利用了国家癌症研究所Metathesaurus来确定NCIT的新概念。虽然以前的工作仅导致识别人类审查的候选导入概念，但我们现在还添加了一种算法方法来评估候选概念并拒绝定义的群体。

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