Name
Abstract | ||
|---|---|---|
Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high incidence and increasing health care costs. Reporting systems are available in order for both healthcare professionals and patients to alert about possible ADRs. However, several studies have shown that these adverse events are underestimated. Our hypothesis is that health social networks could be a significant information source for the early detection of ADRs as well as of new drug indications. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/1472-6947-15-S2-S6 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Name Entity Recognition, Relation Extraction, Annotate Corpus, Drug Indication, Relation Instance | Health care,Data mining,Social media,Social network,Adverse effect,Pharmacovigilance,Developed country,Health informatics,Drug,Medicine | Journal |
Volume | Issue | ISSN |
15 | S-2 | 1472-6947 |
Citations | PageRank | References |
13 | 0.55 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Isabel Segura-Bedmar | 1 | 435 | 30.96 |
| Paloma Martínez | 2 | 717 | 85.63 |
| Ricardo Revert | 3 | 13 | 0.55 |
| Julián Moreno Schneider | 4 | 45 | 12.72 |