Perceiving the usefulness of the national cancer institute metathesaurus for enriching NCIT with topological patterns
Document Type
Conference Proceeding
Publication Date
1-1-2017
Abstract
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.
Identifier
85040526755 (Scopus)
ISBN
[9781614998297]
Publication Title
Studies in Health Technology and Informatics
External Full Text Location
https://doi.org/10.3233/978-1-61499-830-3-863
e-ISSN
18798365
ISSN
09269630
PubMed ID
29295222
First Page
863
Last Page
867
Volume
245
Grant
R01CA190779
Fund Ref
National Institutes of Health
Recommended Citation
He, Zhe; Chen, Yan; and Geller, James, "Perceiving the usefulness of the national cancer institute metathesaurus for enriching NCIT with topological patterns" (2017). Faculty Publications. 10034.
https://digitalcommons.njit.edu/fac_pubs/10034
