Name
Title | ||
|---|---|---|
Evaluation of Natural Language Processing (NLP) systems to annotate drug product labeling with MedDRA terminology. |
Abstract | ||
|---|---|---|
•FDA Adverse Event Reporting System (FAERS) is used to identify adverse events (AEs).•Extracting known AE data from drug labels may increase FAERS case review efficiency.•Annotation guidelines were written to create gold standard set of AE terms in labels.•Several NLP tools were evaluated for extraction of AE terms and mapping to MedDRA.•Detailed error review to identify challenges for NLP tools to code drug label AEs. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jbi.2018.05.019 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Pharmacovigilance,FDA,MedDRA,Labeling,Drug Safety | Data mining,Adverse Event Reporting System,MedDRA,Terminology,Computer science,Coding (social sciences),Product Labeling,Triage,Pharmacovigilance,Natural language processing,Artificial intelligence,Drug | Journal |
Volume | ISSN | Citations |
83 | 1532-0464 | 1 |
PageRank | References | Authors |
0.35 | 5 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Ly | 1 | 1 | 0.35 |
| Carol A. Pamer | 2 | 1 | 0.69 |
| Oanh Dang | 3 | 1 | 0.69 |
| Sonja Brajovic | 4 | 1 | 0.35 |
| Shahrukh Haider | 5 | 1 | 0.35 |
| Taxiarchis Botsis | 6 | 1 | 0.35 |
| David Milward | 7 | 196 | 27.51 |
| Andrew Winter | 8 | 1 | 0.35 |
| Susan Lu | 9 | 1 | 0.35 |
| Robert Ball | 10 | 42 | 4.99 |