| 1. |
- Dupuch, Marie, et al.
(författare)
-
Comparison of Clustering Approaches through Their Application to Pharmacovigilance Terms
- 2013
-
Ingår i: Artificial Intelligence in Medicine. Lecture Notes in Computer Science, vol. 7885. - Berlin Heidelberg : Springer. - 9783642383250 - 9783642383267 ; , s. 58-67
-
Bokkapitel (refereegranskat)abstract
- In different applications (i.e., information retrieval, filteringor analysis), it is useful to detect similar terms and to provide the possibilityto use them jointly. Clustering of terms is one of the methods whichcan be exploited for this. In our study, we propose to test three methodsdedicated to the clustering of terms (hierarchical ascendant classification,Radius and maximum), to combine them with the semantic distance algorithmsand to compare them through the results they provide whenapplied to terms from the pharmacovigilance area. The comparison indicatesthat the non disjoint clustering (Radius and maximum) outperformthe disjoint clusters by 10 to up to 20 points in all the experiments.
|
|
| 2. |
- Hamon, Thierry, et al.
(författare)
-
Combining Compositionality and Pagerank for the Identification of Semantic Relations between Biomedical Words
- 2012
-
Ingår i: BioNLP. - 9781937284206 - 1937284204 ; , s. 109-117
-
Konferensbidrag (refereegranskat)abstract
- The acquisition of semantic resources and relations is an important task for several applications, such as query expansion, information retrieval and extraction, machine translation. However, their validity should also be computed and indicated, especially for automatic systems and applications. We exploit the compositionality based methods for the acquisition of synonymy relations and of indicators of these synonyms. We then apply pagerank-derived algorithm to the obtained semantic graph in order to filter out the acquired synonyms. Evaluation performed with two independent experts indicates that the quality of synonyms is systematically improved by 10 to 15% after their filtering.
|
|
| 3. |
- Hamon, Thierry, et al.
(författare)
-
Medication Extraction and Guessing in Swedish, French and English.
- 2013
-
Ingår i: Proceedings of the 14th World Congress on Medical and Health Informatics (MEDINFO). Studies in Health Technology and Informatics. Copenhagen, Denmark.. ; 192
-
Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Extraction of information related to the medication is an im-portant task within the biomedical area. While the elaboration and updating of the drug vocabularies cannot follow the rap-id evolution of the drug development, we propose an automat-ic method for the extraction of known and new drug names. Our method combines internal and contextual clues. The method is applied to different types of documents in three languages (Swedish, French and English). The results indi-cate that with this kind of approach, we can efficiently update and enrich the existing drug vocabularies (probably with rap-id manual browsing). Precision and recall scores varied be-tween 81%-91% for precision and 85%-100% for recall. As a future work we intend to continuously refine the approach, by for instance better integration of semantic patterns and fuzzy matching that should hopefully enable further increase of the obtained results.
|
|
