Name
Abstract | ||
|---|---|---|
Adverse Drug Reaction (ADR) is one of the most important issues on drug safety assessment. Many adverse drug reactions cannot be discovered through limited pre-marketing clinical trials; instead, they can only be recognized by a long term of post-marketing surveillance of drug usages. In this paper, we propose an interactive system platform for ADRs detection. By integrating the concept of ADRs data warehouse and innovative data mining techniques, the proposed system can not only support OLAP style of multidimensional analysis of ADRs, but also offer interactive discovery of associations between drugs and symptoms, called drug-ADR association rule, which can be further specialized by other factors interesting to users, such as demographic information. Experiments indicate that interesting and valuable drug-ADR association rules can be efficiently mined. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2180796.2180814 | SIGHIT Record |
Keywords | Field | DocType |
interactive system platform,drug usage,web-based interactive adverse drug,adrs detection,proposed system,adverse drug reaction,drug safety assessment,adrs data warehouse,interactive discovery,innovative data mining technique,drug-adr association rule,association rule,data mining,data warehouse,pharmacovigilance,drug safety,clinical trial | Data warehouse,Data science,Adverse drug reaction,Multidimensional analysis,Clinical trial,Association rule learning,Pharmacovigilance,Web application,Online analytical processing,Medicine | Journal |
Volume | Issue | Citations |
2 | 1 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Yang Lin | 1 | 399 | 35.72 |
| Heyi Li | 2 | 4 | 1.41 |
| Jhih-Wei Du | 3 | 0 | 0.68 |
| Wen-Yu Feng | 4 | 0 | 0.34 |
| Chiao-Feng Lo | 5 | 0 | 0.68 |