| Literature DB >> 28269858 |
Zhe He1, Yan Chen2, Sherri de Coronado3, Katrina Piskorski4, James Geller5.
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.Entities:
Mesh:
Year: 2017 PMID: 28269858 PMCID: PMC5333219
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076