Drug safety issues pose serious health threats to the population and constitute a major
cause of mortality worldwide. Due to the prominent implications to both public health and the …

Objectives: To create rules in order to generate alerts regarding medication allergy, and then
evaluate the appropriateness of the ontology by using it in a constructed scenario. Methods …

Background While clinical trials are considered the gold standard for detecting adverse
events, often these trials are not sufficiently powered to detect difficult to observe adverse …

Background: In Germany, adverse drug reactions and events cause hospitalizations, which
lead to numerous thousands of deaths and several million Euros in additional health costs …

Machine learning techniques are being increasingly used in the analysis of clinical and
omics data. This increase is primarily due to the advancements in Artificial intelligence (AI) …

Abstract Information Technology (IT) and specialized systems could have a prominent role
towards the support of drug safety processes, both in the clinical context but also beyond …

Objective: Driven by the need of pharmacovigilance centres and companies to routinely
collect and review all available data about adverse drug reactions (ADRs) and adverse …

Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of
hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is …

Background Adverse drug reactions (ADRs) are common and are the underlying cause of
over a million serious injuries and deaths each year. The most familiar method to detect …

The WHO-ART and MedDRA terminologies used for coding adverse drug reactions (ADR)
do not provide formal definitions of terms. In order to improve groupings, we propose to map …