Name
Title | ||
|---|---|---|
Discovering associations between adverse drug events using pattern structures and ontologies. |
Abstract | ||
|---|---|---|
The chosen approach permits an expressive representation of a patient ADEs. Extracted association rules point to distinct ADEs that occur in a same group of patients, and could serve as a basis for a recommandation system. The proposed representation is flexible and can be extended to make use of additional ontologies and various patient records. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s13326-017-0137-x | J. Biomedical Semantics |
Keywords | Field | DocType |
Adverse drug event,Association rules,Ontologies,Patient data,Pattern structures,Pharmacovigilance | Ontology (information science),Data science,Data mining,Biological Ontologies,Computer science,Adverse effect,Association rule learning,Pharmacovigilance,Drug | Journal |
Volume | Issue | ISSN |
8 | 1 | 2041-1480 |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabin Personeni | 1 | 1 | 1.37 |
| Emmanuel Bresso | 2 | 3 | 2.75 |
| Marie-Dominique Devignes | 3 | 213 | 23.87 |
| Michel Dumontier | 4 | 898 | 93.35 |
| Malika Smaïl-Tabbone | 5 | 86 | 13.49 |
| Adrien Coulet | 6 | 165 | 16.04 |