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

Document Type

Article

Publication Date

1-1-2016

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.

Identifier

85026707233 (Scopus)

Publication Title

AMIA Annual Symposium Proceedings AMIA Symposium

e-ISSN

1942597X

PubMed ID

28269858

First Page

618

Last Page

627

Volume

2016

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