Topological-Pattern-Based Recommendation of UMLS Concepts for National Cancer Institute Thesaurus

Zhe He, Yan Chen, Sherri de Coronado, Katrina Piskorski, James Geller

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

The National Cancer Institute Thesaurus (NCIt) is a reference terminology used to support clinical, translational and basic research as well as administrative activities. As medical knowledge evolves, concepts that might be missing from a particular needed subdomain are regularly added to the NCIt. However, terminology development is known to be labor-intensive and error-prone. Therefore, cost-effective semi-automated methods for identifying potentially missing concepts would be useful to terminology curators. Previously, we have developed a structural method leveraging the native term mappings of the Unified Medical Language System to identify potential concepts in several of its source vocabularies to enrich the SNOMED CT. In this paper, we tested an analogous method for NCIt. Concepts from eight UMLS source terminologies were identified as possibilities to enrich NCIt's conceptual content.

Original languageEnglish (US)
Pages (from-to)618-627
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2016
StatePublished - Jan 1 2016

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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