| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6926399 | International Journal of Medical Informatics | 2018 | 9 Pages |
Abstract
Our annotation system relies on a domain ontology to extract and link information in clinical text. We developed an ontology that can be easily enriched and translated, and the system performs well on the considered task. In the future, it could be successfully used to automatically populate the TRIAD database.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Natalia Viani, Cristiana Larizza, Valentina Tibollo, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi,