Name
Title | ||
|---|---|---|
SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes. |
Abstract | ||
|---|---|---|
We show the web service performs comparably to other knowledge-based annotation approaches in recognizing entities in biomedical text and reach state-of-the-art levels in clinical context detection (negation, experiencer, temporality). Additionally, the SIFR Annotator is the first openly web accessible tool to annotate and contextualize French biomedical text with ontology concepts leveraging a dictionary currently made of 28 terminologies and ontologies and 333 K concepts. The code is openly available, and we also provide a Docker packaging for easy local deployment to process sensitive (e.g., clinical) data in-house ( https://github.com/sifrproject ). |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2429-2 | BMC Bioinformatics |
Field | DocType | Volume |
Ontology (information science),Metadata,Ontology,Annotation,Biology,Information retrieval,Open Biomedical Ontologies,Search engine indexing,Information extraction,Bioinformatics,Web service | Journal | 19 |
Issue | ISSN | Citations |
1 | 1471-2105 | 0 |
PageRank | References | Authors |
0.34 | 45 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andon Tchechmedjiev | 1 | 21 | 8.43 |
| Amine Abdaoui | 2 | 6 | 4.83 |
| Vincent Emonet | 3 | 10 | 2.31 |
| Stella Zevio | 4 | 0 | 0.34 |
| Clement Jonquet | 5 | 673 | 57.77 |