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Items: 1 to 20 of 180

1.

A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports.

Tatonetti NP, Fernald GH, Altman RB.

J Am Med Inform Assoc. 2012 Jan-Feb;19(1):79-85. doi: 10.1136/amiajnl-2011-000214. Epub 2011 Jun 14.

3.

Mining association patterns of drug-interactions using post marketing FDA's spontaneous reporting data.

Ibrahim H, Saad A, Abdo A, Sharaf Eldin A.

J Biomed Inform. 2016 Apr;60:294-308. doi: 10.1016/j.jbi.2016.02.009. Epub 2016 Feb 20.

4.

Mining multi-item drug adverse effect associations in spontaneous reporting systems.

Harpaz R, Chase HS, Friedman C.

BMC Bioinformatics. 2010 Oct 28;11 Suppl 9:S7. doi: 10.1186/1471-2105-11-S9-S7.

5.

Use of an algorithm for identifying hidden drug–drug interactions in adverse event reports.

Gooden KM, Pan X, Kawabata H, Heim JM.

J Am Med Inform Assoc. 2013 May;20(3):590. No abstract available.

6.

Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting System.

Harpaz R, Haerian K, Chase HS, Friedman C.

AMIA Annu Symp Proc. 2010 Nov 13;2010:281-5.

7.

Response to 'Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports' by Gooden et al.

Tatonetti NP, Denny JC, Altman RB.

J Am Med Inform Assoc. 2013 May;20(3):591. doi: 10.1136/amiajnl-2012-001603. Epub 2013 Jan 30. No abstract available.

8.
9.

An evaluation of three signal-detection algorithms using a highly inclusive reference event database.

Hochberg AM, Hauben M, Pearson RK, O'Hara DJ, Reisinger SJ, Goldsmith DI, Gould AL, Madigan D.

Drug Saf. 2009;32(6):509-25. doi: 10.2165/00002018-200932060-00007.

PMID:
19459718
10.

The development and evaluation of triage algorithms for early discovery of adverse drug interactions.

Strandell J, Caster O, Hopstadius J, Edwards IR, Norén GN.

Drug Saf. 2013 May;36(5):371-88. doi: 10.1007/s40264-013-0053-7.

PMID:
23640657
11.

Criteria revision and performance comparison of three methods of signal detection applied to the spontaneous reporting database of a pharmaceutical manufacturer.

Matsushita Y, Kuroda Y, Niwa S, Sonehara S, Hamada C, Yoshimura I.

Drug Saf. 2007;30(8):715-26. Erratum in: Drug Saf. 2008;31(2):183.

PMID:
17696584
12.

Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms.

Sakaeda T, Kadoyama K, Minami K, Okuno Y.

Int J Med Sci. 2014 Mar 15;11(5):461-5. doi: 10.7150/ijms.7967. eCollection 2014.

13.

Association rule mining in the US Vaccine Adverse Event Reporting System (VAERS).

Wei L, Scott J.

Pharmacoepidemiol Drug Saf. 2015 Sep;24(9):922-33. doi: 10.1002/pds.3797. Epub 2015 Jun 4.

PMID:
26045284
15.

Quality assessment of spontaneous triggered adverse event reports received by the Food and Drug Administration.

Brajovic S, Piazza-Hepp T, Swartz L, Dal Pan G.

Pharmacoepidemiol Drug Saf. 2012 Jun;21(6):565-70; discussion 571-2. doi: 10.1002/pds.3223. Epub 2012 Feb 22. Review.

PMID:
22359404
16.

Identifying adverse drug reactions associated with drug-drug interactions: data mining of a spontaneous reporting database in Italy.

Leone R, Magro L, Moretti U, Cutroneo P, Moschini M, Motola D, Tuccori M, Conforti A.

Drug Saf. 2010 Aug 1;33(8):667-75. doi: 10.2165/11534400-000000000-00000.

PMID:
20635825
18.

Structured assessment for prospective identification of safety signals in electronic medical records: evaluation in the health improvement network.

Cederholm S, Hill G, Asiimwe A, Bate A, Bhayat F, Persson Brobert G, Bergvall T, Ansell D, Star K, Norén GN.

Drug Saf. 2015 Jan;38(1):87-100. doi: 10.1007/s40264-014-0251-y.

19.

Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels.

Tatonetti NP, Denny JC, Murphy SN, Fernald GH, Krishnan G, Castro V, Yue P, Tsao PS, Kohane I, Roden DM, Altman RB.

Clin Pharmacol Ther. 2011 Jul;90(1):133-42. doi: 10.1038/clpt.2011.83. Epub 2011 May 25. Erratum in: Clin Pharmacol Ther. 2011 Sep;90(3):480. Tsau, P S [corrected to Tsao, P S].

20.

Methods for retrospective detection of drug safety signals and adverse events in electronic general practice records.

Tomlin A, Reith D, Dovey S, Tilyard M.

Drug Saf. 2012 Sep 1;35(9):733-43. doi: 10.2165/11631970-000000000-00000.

PMID:
22861670

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