Name
Abstract | ||
|---|---|---|
The translation or mapping between terminologies in healthcare is one of the ways to achieve semantic interoperability between information systems. Accordingly, we propose a method to assist the translation of terminologies based on the association rules mining in integrated databases containing data encoded with two different terminologies. This method also uses text search (string matching) between terms. The extracted rules proved the correct translation of some terms and when a valid rule could not be extracted, textual search proved to be a good resource. Further work will be undertaken to quantify the efficiency of the method through expert analysis. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/HealthCom.2014.7001868 | Healthcom |
Keywords | Field | DocType |
unified modeling language,terminology,association rules | String searching algorithm,Information system,Systems interoperability,Data mining,Terminology,Information retrieval,Unified Modeling Language,Computer science,Full text search,Semantic interoperability,Association rule learning | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thiago Fernandes de Freitas Dias | 1 | 0 | 0.34 |
| Domingos Alves | 2 | 5 | 5.24 |
| Joaquim Cezar Felipe | 3 | 54 | 7.17 |