| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6928465 | Journal of Biomedical Informatics | 2014 | 7 Pages |
Abstract
- SNOMED CT is a large and complex terminology and imperfections are inevitable.
- We propose an algorithmic quality assurance method to find inconsistent concepts.
- We formulate similarity sets: groups of concepts with similar lexical structure.
- Five different set types are formed and a sample of each is evaluated.
- Evaluation of the samples revealed 38-70% of the sets having inconsistencies.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ankur Agrawal, Gai Elhanan,