The World Health Organization (WHO) and drug regulators in many countries maintain databases for adverse drug reaction reports. Data duplication is a significant problem in such databases as reports often come from a variety of sources. Most duplicate detection techniques either have limitations on handling large amount of data or lack effective means to deal with data with imbalanced label dis...

Roxithromycin and other macrolide antimicrobials are widely used for a broad variety of infections such as upper respiratory tract infection and community acquired pneumonia. Prolongation of the QT interval, torsade de pointes polymorphic ventricular tachycardia, and sudden death are well described but little known adverse reactions common to all macrolides. We report the case of a 72 year old ...

Introduction: Adverse drug reaction generally occurs on re-exposure to a specific antigen and requires the release of pro-inflammatory mediators, but it can also occur on first exposure, because there is cross-reactivity among many commercial products and drugs. Thus present study was aimed to study the incidence of adverse drug reactions, and to identify common drugs, that causes adverse drug ...

In this paper, propose an innovative data mining framework and apply it to mine potential causal associations in electronic patient data sets where the drug-related events of interest occur infrequently.Specifically, created a novel interestingness measure, exclusive causal-leverage, based on a computational, fuzzy recognition-primed decision (RPD) model that we previously developed. On the bas...

OBJECTIVE To determine whether anecdotal reports of suspected adverse drug reactions are valuable early warning signals. DESIGN Systematic literature survey DATA SOURCES We evaluated all case reports of adverse drug reactions published in 1997 in five medical journals. Reports were excluded if the adverse reaction had previously been described in earlier publications and was already listed ...

We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification. In particular, we propose two new neural network models, Convolutional Recurrent Neural Network (CRNN) by concatenating convolutional neural networks with recurrent neural networks,...

Adverse drug reactions (ADRs) to psychotropic agents are common and can lead to non compliance or even discontinuation of therapy. There is paucity of such data in the Indian context. We deemed it worthwhile to assess the suspected ADR profile of psychotropic drugs in a tertiary care hospital in Chennai. A longitudinal observational study was conducted in the out-patient department (OPD) of the...

An article in the National Post on suicidal effects associated with varenicline (Champix) highlights deficiencies in the Canadian spontaneous reporting system (SRS) for adverse drug reactions (ADRs). The issues of under-reporting, poor quality information, duplication of reports and lack of a population denominator of drug use are discussed. Canada's SRS is deficient. There are immediate and me...

three patients developed hyperglycaemia during tamsulosin use. all patients had diabetes and recovered after withdrawal. a pharmacological mechanism for this adverse drug reaction is suggested: stimulation of the α1-receptor is one of the insulin-independent pathways for glucose uptake, hence inhibition might increase plasma glucose concentrations. Physicians should be aware of hyperglycaemia a...