179 Many countries run schemes which encourage physicians and other health care professionals to report suspected drug reactions (ADRs). The aims of these spontaneous reporting schemes (SRSs) are to identify previously unsuspected reactions, to elucidate the relevant risk factors, and to evaluate the comparative toxicity of drugs within the same therapeutic class [1,2]. By their nature these sc...

BACKGROUND The Adverse Event Reporting System (AERS) is an FDA database providing rich information on voluntary reports of adverse drug events (ADEs). Normalizing data in the AERS would improve the mining capacity of the AERS for drug safety signal detection and promote semantic interoperability between the AERS and other data sources. In this study, we normalize the AERS and build a publicly a...

Introduction: Amodiaquine is a partner drug in the artemisinin-based combination therapy artesunate-amodiaquine. Reports of the adverse drug reaction known as amodiaquine-associated asthenia are scarce, and this adverse reaction needs to be investigated in detail. This article presents and reviews a case of amodiaquine-associated asthenia. A literature search for the characteri...

BACKGROUND Spontaneous adverse drug reaction reporting is the most widely used and cost effective method of monitoring the safety of drugs. This method is heavily afflicted by underreporting by healthcare professionals. The study aims at assessing adverse drug reaction (ADR) reporting rate by doctors, knowledge of the reporting system and attitudes to SADR in the Greater Accra region. METHODS...

Article history: Received on: 29/12/2015 Revised on: 21/01/2016 Accepted on: 05/02/2016 Available online: 28/05/2016 Adverse drug reaction is defined by the WHO as a response to a medicinal product which is noxious and unintended, and which occurs at doses normally used in man for prophylaxis, diagnosis, therapy of disease or for the modification of physiologic function. The term Pharmacovigila...

The WHO database contains over 2.5 million case reports, analysis of this data set is performed with the intention of signal detection. This paper presents an overview of the quantitative method used to highlight dependencies in this data set. The method Bayesian confidence propagation neural network (BCPNN) is used to highlight dependencies in the data set. The method uses Bayesian statistics ...