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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wen-Yang Lin Chiao-Feng Lo |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan (Wen-Yang Lin; Chiao-Feng Lo) |
| Abstract | Nowadays, many countries have established spontaneous reporting systems (SRSs) to facilitate postmarketing surveillance of listed drugs and collect enough data for detecting unknown adverse drug reactions. Due to data in SRSs coming from different sources of reporters, there heralds the problem of duplicate reporting; even a small amount of duplicate records would bias the detection results. Although lots of works have been conducted on duplicate record detection, very few of them have been devoted to dataset about adverse drug reactions, and none of them have considered the existence of follow-up reports. In this study, we investigated the problem of identifying duplicate ADR reports in SRSs with the presence of follow-ups. We proposed an ensemble and co-training based detection method that is capable of detecting for a given report not only its duplicates but also its initial or earlier linkage cases. |
| Sponsorship | IEEE Comput.Soc. |
| Starting Page | 7 |
| Ending Page | 8 |
| File Size | 181601 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479913091 |
| DOI | 10.1109/BIBM.2013.6732591 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Drugs Couplings Training ensemble learning follow-up Accuracy Databases co-training learning Adverse drug events duplicate records detection Classification algorithms Bayes methods |
| Content Type | Text |
| Resource Type | Article |
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