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Literature DB >> 20553054

A decade of data mining and still counting.

Manfred Hauben, G Niklas Norén.

Abstract

Mesh：

Year: 2010 PMID： 20553054 DOI： 10.2165/11532430-000000000-00000

Source DB: PubMed Journal: Drug Saf ISSN： 0114-5916 Impact factor: 5.606

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21 in total

1. A retrospective evaluation of a data mining approach to aid finding new adverse drug reaction signals in the WHO international database.

Authors: M Lindquist; M Ståhl; A Bate; I R Edwards; R H Meyboom
Journal: Drug Saf Date: 2000-12 Impact factor: 5.606

2. Building an ontology of adverse drug reactions for automated signal generation in pharmacovigilance.

Authors: Corneliu Henegar; Cédric Bousquet; Agnès Lillo-Le Louët; Patrice Degoulet; Marie-Christine Jaulent
Journal: Comput Biol Med Date: 2005-09-26 Impact factor: 4.589

Review 3. Perspectives on the use of data mining in pharmaco-vigilance.

Authors: June Almenoff; Joseph M Tonning; A Lawrence Gould; Ana Szarfman; Manfred Hauben; Rita Ouellet-Hellstrom; Robert Ball; Ken Hornbuckle; Louisa Walsh; Chuen Yee; Susan T Sacks; Nancy Yuen; Vaishali Patadia; Michael Blum; Mike Johnston; Charles Gerrits; Harry Seifert; Karol Lacroix
Journal: Drug Saf Date: 2005 Impact factor: 5.606

Review 4. Data mining in spontaneous reports.

Authors: Andrew Bate; I R Edwards
Journal: Basic Clin Pharmacol Toxicol Date: 2006-03 Impact factor: 4.080

5. Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.

Authors: June S Almenoff; Karol K LaCroix; Nancy A Yuen; David Fram; William DuMouchel
Journal: Drug Saf Date: 2006 Impact factor: 5.606

6. Illusions of objectivity and a recommendation for reporting data mining results.

Authors: Manfred Hauben; Lester Reich; Charles M Gerrits; Muhammad Younus
Journal: Eur J Clin Pharmacol Date: 2007-03-16 Impact factor: 2.953

Review 7. Defining 'signal' and its subtypes in pharmacovigilance based on a systematic review of previous definitions.

Authors: Manfred Hauben; Jeffrey K Aronson
Journal: Drug Saf Date: 2009 Impact factor: 5.606

8. A Bayesian neural network method for adverse drug reaction signal generation.

Authors: A Bate; M Lindquist; I R Edwards; S Olsson; R Orre; A Lansner; R M De Freitas
Journal: Eur J Clin Pharmacol Date: 1998-06 Impact factor: 2.953

9. Epidemiology faces its limits.

Authors: G Taubes
Journal: Science Date: 1995-07-14 Impact factor: 47.728

10. Time-to-signal comparison for drug safety data-mining algorithms vs. traditional signaling criteria.

Authors: A M Hochberg; M Hauben
Journal: Clin Pharmacol Ther Date: 2009-03-25 Impact factor: 6.875

17 in total

1. An experimental investigation of masking in the US FDA adverse event reporting system database.

Authors: Hsin-wei Wang; Alan M Hochberg; Ronald K Pearson; Manfred Hauben
Journal: Drug Saf Date: 2010-12-01 Impact factor: 5.606

2. A Multiagent System for Integrated Detection of Pharmacovigilance Signals.

Authors: Vassilis Koutkias; Marie-Christine Jaulent
Journal: J Med Syst Date: 2015-11-21 Impact factor: 4.460

3. Evidence of Misclassification of Drug-Event Associations Classified as Gold Standard 'Negative Controls' by the Observational Medical Outcomes Partnership (OMOP).

Authors: Manfred Hauben; Jeffrey K Aronson; Robin E Ferner
Journal: Drug Saf Date: 2016-05 Impact factor: 5.606

10. Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection.

Authors: Rong Xu; QuanQiu Wang
Journal: BMC Bioinformatics Date: 2014-01-15 Impact factor: 3.169