Name
Title | ||
|---|---|---|
Association measures for estimating semantic similarity and relatedness between biomedical concepts. |
Abstract | ||
|---|---|---|
•A comparison between UMLS Concept associations and term associations.•A Method of concept expansion that exploits the UMLS hierarchy.•State of the art semantic similarity and relatedness results acheived.•Extensive analysis of parameters that affect performance.•Introduction of the open-source UMLS::Association package. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.artmed.2018.08.006 | Artificial Intelligence in Medicine |
Keywords | Field | DocType |
Natural language processing,Association measures,Semantic similarity,Semantic relatedness | Semantic similarity,Computer science,Exploit,Natural language processing,Artificial intelligence,Cluster analysis,Unified Medical Language System,Machine learning | Journal |
Volume | ISSN | Citations |
93 | 0933-3657 | 0 |
PageRank | References | Authors |
0.34 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sam Henry | 1 | 13 | 4.45 |
| Alex McQuilkin | 2 | 0 | 0.34 |
| Bridget T. McInnes | 3 | 280 | 23.66 |