Format
Sort by

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 207

1.

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.

2.

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
3.

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.

PMID:
26610385
4.

Patient versus healthcare professional spontaneous adverse drug reaction reporting: a systematic review.

Inch J, Watson MC, Anakwe-Umeh S.

Drug Saf. 2012 Oct 1;35(10):807-18. doi: 10.2165/11631650-000000000-00000. Review.

PMID:
22928729
5.

Using real-world healthcare data for pharmacovigilance signal detection - the experience of the EU-ADR project.

Patadia VK, Coloma P, Schuemie MJ, Herings R, Gini R, Mazzaglia G, Picelli G, Fornari C, Pedersen L, van der Lei J, Sturkenboom M, Trifirò G; EU-ADR consortium..

Expert Rev Clin Pharmacol. 2015 Jan;8(1):95-102. doi: 10.1586/17512433.2015.992878. Review.

PMID:
25487079
6.

Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.

Patadia VK, Schuemie MJ, Coloma P, Herings R, van der Lei J, Straus S, Sturkenboom M, Trifirò G.

Int J Clin Pharm. 2015 Feb;37(1):94-104. doi: 10.1007/s11096-014-0044-5.

PMID:
25488315
7.

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
8.

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.

PMID:
23208789
9.

Utilizing social media data for pharmacovigilance: A review.

Sarker A, Ginn R, Nikfarjam A, O'Connor K, Smith K, Jayaraman S, Upadhaya T, Gonzalez G.

J Biomed Inform. 2015 Apr;54:202-12. doi: 10.1016/j.jbi.2015.02.004. Review.

10.

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.

Harpaz R, Vilar S, Dumouchel W, Salmasian H, Haerian K, Shah NH, Chase HS, Friedman C.

J Am Med Inform Assoc. 2013 May 1;20(3):413-9. doi: 10.1136/amiajnl-2012-000930.

11.

Useful Interplay Between Spontaneous ADR Reports and Electronic Healthcare Records in Signal Detection.

Pacurariu AC, Straus SM, Trifirò G, Schuemie MJ, Gini R, Herings R, Mazzaglia G, Picelli G, Scotti L, Pedersen L, Arlett P, van der Lei J, Sturkenboom MC, Coloma PM.

Drug Saf. 2015 Dec;38(12):1201-10. doi: 10.1007/s40264-015-0341-5.

12.

Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

Sarker A, Gonzalez G.

J Biomed Inform. 2015 Feb;53:196-207. doi: 10.1016/j.jbi.2014.11.002.

13.

Hypersensitivity reactions to anticancer agents: data mining of the public version of the FDA adverse event reporting system, AERS.

Kadoyama K, Kuwahara A, Yamamori M, Brown JB, Sakaeda T, Okuno Y.

J Exp Clin Cancer Res. 2011 Oct 5;30:93. doi: 10.1186/1756-9966-30-93.

14.

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.

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. Review.

PMID:
22359404
16.

Mini-Sentinel and regulatory science--big data rendered fit and functional.

Psaty BM, Breckenridge AM.

N Engl J Med. 2014 Jun 5;370(23):2165-7. doi: 10.1056/NEJMp1401664. No abstract available.

PMID:
24897081
17.

Promoting spontaneous adverse drug reaction reporting in hospitals using a hyperlink to the online reporting form: an ecological study in Portugal.

Ribeiro-Vaz I, Santos C, da Costa-Pereira A, Cruz-Correia R.

Drug Saf. 2012 May 1;35(5):387-94. doi: 10.2165/11597190-000000000-00000.

PMID:
22468615
18.

The general practice research database: role in pharmacovigilance.

Wood L, Martinez C.

Drug Saf. 2004;27(12):871-81. Review.

PMID:
15366975
19.

Platinum agent-induced hypersensitivity reactions: data mining of the public version of the FDA adverse event reporting system, AERS.

Sakaeda T, Kadoyama K, Yabuuchi H, Niijima S, Seki K, Shiraishi Y, Okuno Y.

Int J Med Sci. 2011;8(4):332-8.

20.

Online reporting of adverse drug reactions: a study from a French regional pharmacovigilance center.

Abadie D, Chebane L, Bert M, Durrieu G, Montastruc JL.

Therapie. 2014 Sep-Oct;69(5):395-400. doi: 10.2515/therapie/2014035.

PMID:
25269141
Items per page

Supplemental Content

Support Center