Name
Abstract | ||
|---|---|---|
This paper proposes a methodology to achieve the automatic inheritance of SNOMED CT relations applied to MeSH preferred terms using UMLS as knowledge source server. We propose an interoperability wildcard to achieve this objective. A quantitative and a qualitative analysis were performed on top four SNOMED CT relations inherited between MeSH preferred terms. A total of 12,030 couples of MeSH preferred terms are in relation via at least one SNOMED CT relationship. For the top-four relations inherited between MeSH preferred terms, overall 79.25% of them are relevant, 16.25% as intermediate and 4.5% as irrelevant, as judged by a medical librarian. This work should lead to an optimization of multi-terminology indexing tools, multi-terminology information retrieval and navigation among a multi-terminology server. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/978-1-60750-044-5-233 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
algorithm,terminology,SNOMED CT,Medical Subject Headings,relationships | Data mining,Wildcard,Information retrieval,Interoperability,Computer science,Search engine indexing,SNOMED CT,Unified Medical Language System | Conference |
Volume | ISSN | Citations |
150 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tayeb Merabti | 1 | 37 | 8.42 |
| Catherine Letord | 2 | 5 | 2.84 |
| Hocine Abdoune | 3 | 11 | 1.56 |
| Thierry Lecroq | 4 | 662 | 58.52 |
| M Joubert | 5 | 203 | 29.39 |
| Stéfan Jacques Darmoni | 6 | 260 | 52.57 |