Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection-Reference-Cited by-同舟云学术

Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection

Published:2014-01-15 Issue:1 Volume:15 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Xu Rong,Wang QuanQiu

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/1471-2105-15-17.pdf

Reference27 articles.

1. Evans SJW, Waller PC, Davis S: Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports. Pharmacoepidemiol Drug Saf. 2001, 10 (6): 483-486. 10.1002/pds.677.

2. Harpaz R, DuMouchel W, Shah NH, Madigan D, Ryan P, Friedman C: Novel data-mining methodologies for adverse drug event discovery and analysis. Clin Pharmacol Ther. 2012, 91 (6): 1010-1021. 10.1038/clpt.2012.50.

3. Bate A, Evans SJW: Quantitative signal detection using spontaneous ADR reporting. Pharmacoepidemiol Drug Saf. 2009, 18 (6): 427-436. 10.1002/pds.1742.

4. Harpaz R, Vilar S, DuMouchel W, Salmasian H, Haerian K, Shah NH, Friedman C: Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions. J Am Med Inform Assoc. 2013, 20 (3): 413-419. 10.1136/amiajnl-2012-000930.

5. Xu R, Wang Q: Automatic signal prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS). J Biomed Inform. (in press),

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