Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10355609 | Journal of Biomedical Informatics | 2012 | 15 Pages |
Abstract
⺠A methodology for partitioning the collection of SNOMED's complex “overlapping concepts” into singly-rooted groups is given. ⺠Different kinds of overlapping concepts with varying degrees of complexity are identified. ⺠An abstract model of the overlapping concepts (“disjoint partial-area taxonomy”) offers a high-level display of a hierarchy. ⺠The partitioning and abstraction methodology is demonstrated with an application to SNOMED's Specimen hierarchy. ⺠The utility of the disjoint partial-area taxonomy as the basis for an auditing regimen is presented in a companion paper.
Related Topics
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Authors
Yue Wang, Michael Halper, Duo Wei, Yehoshua Perl, James Geller,