Literature DB >> 9329298

Adverse drug reactions: finding the needle in the haystack.

I R Edwards.   

Abstract

Mesh：

Year:  1997        PMID： 9329298      PMCID： PMC2127377          DOI： 10.1136/bmj.315.7107.500

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  11 in total

1.  Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study.

Authors:  D M Coulter; A Bate; R H Meyboom; M Lindquist; I R Edwards
Journal:  BMJ       Date:  2001-05-19

2.  Automated signal generation in prescription-event monitoring.

Authors:  Emma Heeley; Lynda V Wilton; Saad A W Shakir
Journal:  Drug Saf       Date:  2002       Impact factor: 5.606

Review 3.  The general practice research database: role in pharmacovigilance.

Authors:  Louise Wood; Carlos Martinez
Journal:  Drug Saf       Date:  2004       Impact factor: 5.606

4.  Should the precautionary principle guide our actions or our beliefs?

Authors:  M Peterson
Journal:  J Med Ethics       Date:  2007-01       Impact factor: 2.903

5.  An intervention to improve spontaneous adverse drug reaction reporting by hospital physicians: a time series analysis in Spain.

Authors:  Consuelo Pedrós; Antoni Vallano; Gloria Cereza; Gemma Mendoza-Aran; Antònia Agustí; Cristina Aguilera; Immaculada Danés; Xavier Vidal; Josep M Arnau
Journal:  Drug Saf       Date:  2009       Impact factor: 5.606

6.  The role of the WHO programme on International Drug Monitoring in coordinating worldwide drug safety efforts.

Authors:  S Olsson
Journal:  Drug Saf       Date:  1998-07       Impact factor: 5.606

7.  Evaluation of automated term groupings for detecting anaphylactic shock signals for drugs.

Authors:  Julien Souvignet; Gunnar Declerck; Béatrice Trombert; Jean Marie Rodrigues; Marie-Christine Jaulent; Cédric Bousquet
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

8.  Effect of an intervention on the features of adverse drug reactions spontaneously reported in a hospital.

Authors:  Gloria Cereza; Antonia Agustí; Consuelo Pedrós; Antonio Vallano; Cristina Aguilera; Immaculada Danés; Xavier Vidal; Josep Maria Arnau
Journal:  Eur J Clin Pharmacol       Date:  2010-06-16       Impact factor: 2.953

Review 9.  Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

Authors:  Benjamin Kompa; Joe B Hakim; Anil Palepu; Kathryn Grace Kompa; Michael Smith; Paul A Bain; Stephen Woloszynek; Jeffery L Painter; Andrew Bate; Andrew L Beam
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.606

10.  Artificial Intelligence, Real-World Automation and the Safety of Medicines.

Authors:  Andrew Bate; Steve F Hobbiger
Journal:  Drug Saf       Date:  2020-10-07       Impact factor: 5.606
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