Article ID Journal Published Year Pages File Type
4942197 Artificial Intelligence in Medicine 2017 6 Pages PDF
Abstract
Overlapping concepts from Uberon's disjoint abstraction network are quite likely (up to 28.9%) to exhibit issues. The results suggest that the methodology can transfer well between same family ontologies. Although Uberon exhibited relatively few overlapping concepts, the methodology can be combined with other semantic indicators to expand the process to other concepts within the ontology that will generate high yields of discovered issues.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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