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Journal Abstract Search

222 related items for PubMed ID: 22237257

  • 41. A knowledge based approach for automated signal generation in pharmacovigilance.
    Henegar C, Bousquet C, Lillo-Le Louët A, Degoulet P, Jaulent MC.
    Stud Health Technol Inform; 2004; 107(Pt 1):626-30. PubMed ID: 15360888
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  • 42. Prediction of drug-related cardiac adverse effects in humans--B: use of QSAR programs for early detection of drug-induced cardiac toxicities.
    Frid AA, Matthews EJ.
    Regul Toxicol Pharmacol; 2010 Apr; 56(3):276-89. PubMed ID: 19941924
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  • 46. Reporting adverse effects: a practice to be encouraged.
    Prescrire Int; 2013 Mar; 22(136):83. PubMed ID: 23593701
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  • 47. Evaluation of serious adverse drug reactions: a proactive pharmacovigilance program (RADAR) vs safety activities conducted by the Food and Drug Administration and pharmaceutical manufacturers.
    Bennett CL, Nebeker JR, Yarnold PR, Tigue CC, Dorr DA, McKoy JM, Edwards BJ, Hurdle JF, West DP, Lau DT, Angelotta C, Weitzman SA, Belknap SM, Djulbegovic B, Tallman MS, Kuzel TM, Benson AB, Evens A, Trifilio SM, Courtney DM, Raisch DW.
    Arch Intern Med; 2007 May 28; 167(10):1041-9. PubMed ID: 17533207
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  • 48. Systematic investigation of time windows for adverse event data mining for recently approved drugs.
    Hochberg AM, Hauben M, Pearson RK, O'Hara DJ, Reisinger SJ.
    J Clin Pharmacol; 2009 Jun 28; 49(6):626-33. PubMed ID: 19451402
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  • 50. Pharmacovigilance in India: how safe are the new drugs? How sure are we?
    Joshi SR, Sapatnekar SM.
    J Assoc Physicians India; 2008 Dec 28; 56():933-4. PubMed ID: 19322970
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  • 52. [Summarizing of medicinal alerts in Ivory Coast from 2001 till 2010].
    N'Guessan-Irié AG, Yavo JC, Guillaume Amari AS, Yapi AD.
    Therapie; 2012 Dec 28; 67(3):251-6. PubMed ID: 22874492
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  • 56. Prediction of drug-related cardiac adverse effects in humans--A: creation of a database of effects and identification of factors affecting their occurrence.
    Matthews EJ, Frid AA.
    Regul Toxicol Pharmacol; 2010 Apr 28; 56(3):247-75. PubMed ID: 19932726
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  • 57. Grouping pharmacovigilance terms with semantic distance.
    Dupuch M, Lerch M, Jamet A, Jaulent MC, Fescharek R, Grabar N.
    Stud Health Technol Inform; 2011 Apr 28; 169():794-8. PubMed ID: 21893856
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  • 58. A potential competition bias in the detection of safety signals from spontaneous reporting databases.
    Pariente A, Didailler M, Avillach P, Miremont-Salamé G, Fourrier-Reglat A, Haramburu F, Moore N.
    Pharmacoepidemiol Drug Saf; 2010 Nov 28; 19(11):1166-71. PubMed ID: 20848561
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  • 59. Potential utility of data-mining algorithms for early detection of potentially fatal/disabling adverse drug reactions: a retrospective evaluation.
    Hauben M, Reich L.
    J Clin Pharmacol; 2005 Apr 28; 45(4):378-84. PubMed ID: 15778418
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