Objective In this systematic review, we aim to synthesize the literature on the use of natural
language processing (NLP) and text mining as they apply to symptom extraction and …

Aims Current trends in pharmacovigilance systems are veering towards patient involvement
in spontaneous reporting of adverse drug reactions (ADRs). The aim of the current …

The safety of medication use has been a priority in the United States since the late 1930s.
Recently, it has gained prominence due to the increasing amount of data suggesting that a …

Social media data have been increasingly used to study biomedical and health-related
phenomena. From cohort-level discussions of a condition to population-level analyses of …

The ever-increasing supply of information combined with the growing knowledge elicitation
capabilities of key emerging technologies presents pharmacovigilance with enormous …

Background A scoping review to characterize the literature on the use of conversations in
social media as a potential source of data for detecting adverse events (AEs) related to …

Understanding the patient perspective is fundamental to delivering patient-centred care. In
most healthcare systems, however, patient-reported outcomes are not regularly collected or …

Introduction: Social media mining could be a possible strategy to retrieve drug safety
information. The mining of social media is a complex process under progressive evolution …

Abstract The Innovative Medicines Initiative (IMI) WEB-RADR (Web-Recognising Adverse
Drug Reactions) project looked at opportunities and challenges in using social media in …

The large-scale use of social media by the population has gained the attention of
stakeholders and researchers in various fields. In the domain of pharmacovigilance, this …