Name
Abstract | ||
|---|---|---|
•Significant correlation between concept coverage and the number of available concepts.•Significant correlation between term coverage and the number of terms available.•No significant differences in concept and term coverage between terminology settings.•Low inter-annotator agreement coefficient independently of the terminology setting.•Lack of correlation between inter-annotator agreement and concept or term coverage. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijmedinf.2018.12.011 | International Journal of Medical Informatics |
Keywords | Field | DocType |
Quantitative analysis,Medical terminology,SNOMED CT,Annotation experiment | Medical terminology,Terminology,Interoperability,Knowledge management,Semantic interoperability,eHealth,Artificial intelligence,Natural language processing,User interface,SNOMED CT,Medicine,Unified Medical Language System | Journal |
Volume | ISSN | Citations |
123 | 1386-5056 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Antonio Miñarro-Giménez | 1 | 60 | 12.59 |
| Ronald Cornet | 2 | 343 | 22.27 |
| Marie-Christine Jaulent | 3 | 375 | 68.72 |
| Heike Dewenter | 4 | 0 | 3.04 |
| Sylvia Thun | 5 | 4 | 6.92 |
| Kirstine Rosenbeck Gøeg | 6 | 11 | 5.13 |
| Daniel Karlsson | 7 | 79 | 11.55 |
| Stefan Schulz | 8 | 1092 | 127.03 |