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Dataset Information

Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR.


ABSTRACT: INTRODUCTION AND OBJECTIVE: Social media has been suggested as a source for safety information, supplementing existing safety surveillance data sources. This article summarises the activities undertaken, and the associated challenges, to create a benchmark reference dataset that can be used to evaluate the performance of automated methods and systems for adverse event recognition.

Methods

A retrospective analysis of public English-language Twitter posts (Tweets) was performed. We sampled 57,473 Tweets out of 5,645,336 Tweets created between 1 March, 2012 and 1 March, 2015 that mentioned at least one of six medicinal products of interest (insulin glargine, levetiracetam, methylphenidate, sorafenib, terbinafine, zolpidem). Products, adverse events, indications, product-event combinati

SUBMITTER: Dietrich J 

PROVIDER: S-EPMC7165158 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature