Name
Abstract | ||
|---|---|---|
BackgroundTo facilitate long-term safety surveillance of marketing drugs, many spontaneously reporting systems (SRSs) of ADR events have been established world-wide. Since the data collected by SRSs contain sensitive personal health information that should be protected to prevent the identification of individuals, it procures the issue of privacy preserving data publishing (PPDP), that is, how to sanitize (anonymize) raw data before publishing. Although much work has been done on PPDP, very few studies have focused on protecting privacy of SRS data and none of the anonymization methods is favorable for SRS datasets, due to which contain some characteristics such as rare events, multiple individual records, and multi-valued sensitive attributes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s12911-016-0293-4 | BMC Med. Inf. & Decision Making |
Keywords | Field | DocType |
Adverse drug reaction, ADR signal detection, Data anonymization, Privacy preserving data publishing, Spontaneous reporting system | Data mining,Internet privacy,Computer science,Data anonymization,Raw data,Data publishing,Publishing,Rare events,Personal health,Safety surveillance | Conference |
Volume | Issue | ISSN |
16 | S-1 | 1472-6947 |
Citations | PageRank | References |
3 | 0.40 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Yang Lin | 1 | 399 | 35.72 |
| Duen-Chuan Yang | 2 | 3 | 0.40 |
| Jie-Teng Wang | 3 | 3 | 0.40 |