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Items: 1 to 20 of 88

1.

Web-scale pharmacovigilance: listening to signals from the crowd.

White RW, Tatonetti NP, Shah NH, Altman RB, Horvitz E.

J Am Med Inform Assoc. 2013 May 1;20(3):404-8. doi: 10.1136/amiajnl-2012-001482. Epub 2013 Mar 6.

2.

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].

3.

Co-medication of pravastatin and paroxetine-a categorical study.

An L, Ravindran PP, Renukunta S, Denduluri S.

J Clin Pharmacol. 2013 Nov;53(11):1212-9. doi: 10.1002/jcph.151. Epub 2013 Aug 13.

PMID:
23907716
4.

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
5.

Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance.

Callahan A, Pernek I, Stiglic G, Leskovec J, Strasberg HR, Shah NH.

J Med Internet Res. 2015 Aug 20;17(8):e204. doi: 10.2196/jmir.4427.

6.

Early identification of adverse drug reactions from search log data.

White RW, Wang S, Pant A, Harpaz R, Shukla P, Sun W, DuMouchel W, Horvitz E.

J Biomed Inform. 2016 Feb;59:42-8. doi: 10.1016/j.jbi.2015.11.005. Epub 2015 Nov 29.

7.

Toward enhanced pharmacovigilance using patient-generated data on the internet.

White RW, Harpaz R, Shah NH, DuMouchel W, Horvitz E.

Clin Pharmacol Ther. 2014 Aug;96(2):239-46. doi: 10.1038/clpt.2014.77. Epub 2014 Apr 8.

8.

Social Media Listening for Routine Post-Marketing Safety Surveillance.

Powell GE, Seifert HA, Reblin T, Burstein PJ, Blowers J, Menius JA, Painter JL, Thomas M, Pierce CE, Rodriguez HW, Brownstein JS, Freifeld CC, Bell HG, Dasgupta N.

Drug Saf. 2016 May;39(5):443-54. doi: 10.1007/s40264-015-0385-6.

PMID:
26798054
9.

Postmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture?

Coloma PM, Trifirò G, Patadia V, Sturkenboom M.

Drug Saf. 2013 Mar;36(3):183-97. doi: 10.1007/s40264-013-0018-x. Review.

PMID:
23377696
10.

Drug safety information through the internet: the experience of an Italian website.

Polimeni G, Russo A, Catania MA, Aiello A, Oteri A, Trifirò G, Calapai G, Sautebin L, Iacobelli M, Caputi AP.

Drug Saf. 2009;32(3):245-53. doi: 10.2165/00002018-200932030-00007.

PMID:
19338382
11.

The EU-ADR Web Platform: delivering advanced pharmacovigilance tools.

Oliveira JL, Lopes P, Nunes T, Campos D, Boyer S, Ahlberg E, van Mulligen EM, Kors JA, Singh B, Furlong LI, Sanz F, Bauer-Mehren A, Carrascosa MC, Mestres J, Avillach P, Diallo G, Díaz Acedo C, van der Lei J.

Pharmacoepidemiol Drug Saf. 2013 May;22(5):459-67. doi: 10.1002/pds.3375. Epub 2012 Dec 4.

PMID:
23208789
12.

Use of internet search logs to evaluate potential drug adverse events.

Sarntivijai S, Abernethy DR.

Clin Pharmacol Ther. 2014 Aug;96(2):149-50. doi: 10.1038/clpt.2014.115.

PMID:
25056395
13.

Predicting adverse drug events from personal health messages.

Chee BW, Berlin R, Schatz B.

AMIA Annu Symp Proc. 2011;2011:217-26. Epub 2011 Oct 22.

14.

Filtering big data from social media--Building an early warning system for adverse drug reactions.

Yang M, Kiang M, Shang W.

J Biomed Inform. 2015 Apr;54:230-40. doi: 10.1016/j.jbi.2015.01.011. Epub 2015 Feb 14.

15.

Prevalence of potentially severe drug-drug interactions in ambulatory patients with dyslipidaemia receiving HMG-CoA reductase inhibitor therapy.

Rätz Bravo AE, Tchambaz L, Krähenbühl-Melcher A, Hess L, Schlienger RG, Krähenbühl S.

Drug Saf. 2005;28(3):263-75. Erratum in: Drug Saf. 2007;30(8):726.

PMID:
15733030
16.

Text mining for adverse drug events: the promise, challenges, and state of the art.

Harpaz R, Callahan A, Tamang S, Low Y, Odgers D, Finlayson S, Jung K, LePendu P, Shah NH.

Drug Saf. 2014 Oct;37(10):777-90. doi: 10.1007/s40264-014-0218-z.

17.

Prediction of black box warning by mining patterns of Convergent Focus Shift in clinical trial study populations using linked public data.

Ma H, Weng C.

J Biomed Inform. 2016 Apr;60:132-44. doi: 10.1016/j.jbi.2016.01.015. Epub 2016 Feb 3.

18.

An analysis of Vigimed, a global e-mail system for the exchange of pharmacovigilance information.

Johansson K, Olsson S, Hellman B, Meyboom RH.

Drug Saf. 2007;30(10):883-9.

PMID:
17867725
19.

Incidence of type 2 diabetes among patients exposed to the combination of pravastatin and paroxetine.

Gooden KM, Bibeau KB, Wood J, Irizarry MC, Pan X, Allen J, Sampson T, Heim JM.

Curr Drug Saf. 2015;10(2):152-8.

PMID:
24861991
20.

Pharmacovigilance using clinical notes.

LePendu P, Iyer SV, Bauer-Mehren A, Harpaz R, Mortensen JM, Podchiyska T, Ferris TA, Shah NH.

Clin Pharmacol Ther. 2013 Jun;93(6):547-55. doi: 10.1038/clpt.2013.47. Epub 2013 Mar 4.

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