Extending import detection algorithms for concept import from two to three biomedical terminologies

Background While enrichment of terminologies can be achieved in different ways, filling gaps in the IS-A hierarchy backbone of a terminology appears especially promising. To avoid difficult manual inspection, we started a research program in 2014, investigating terminology densities, where the compa...

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Bibliographic Details
Published in:	BMC medical informatics and decision making Vol. 20; no. Suppl 10; pp. 272 - 11
Main Authors:	Keloth, Vipina K., Geller, James, Chen, Yan, Xu, Julia
Format:	Journal Article
Language:	English
Published:	London BioMed Central 15.12.2020 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Concept import Density differences Diamonds Electronic health records Health Informatics Humans Imports Information Systems and Communication Service Inspection Investigations Management of Computing and Information Systems Medical research Medicine Medicine & Public Health Medicine, Experimental National cancer institute thesaurus Ontology Quality control Semantics SNOMED CT Subject specialists Systematized Nomenclature of Medicine Target detection Target recognition Terminologies Terminology UMLS Vocabulary, Controlled United States Concept import UMLS Density differences SNOMED CT National cancer institute thesaurus Terminologies
ISSN:	1472-6947, 1472-6947
Online Access:	Get full text
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