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Uppsala Reports editor
@UMCGlobalSafety
Research / 26 August 2024
Duplicate reports are a big problem when it comes to signal detection, but with the help of machine learning and new ways of comparing reports, we may more effectively detect them.
In this episode, Jim Barrett, Senior Data Scientist at UMC and Fredrik Brounéus discuss algorithms: specifically, the duplicate detection algorithm and its use in VigiBase, and generally on different approaches to creating algorithms and the challenges in evaluating their performance.
This episode is part of the Uppsala Reports Long Reads series – the most topical stories from UMC’s pharmacovigilance news site, brought to you in audio format. Find the original article here. Subscribe by visiting the Drug Safety Matters website.
To tackle the lack of medicine and vaccine safety data for pregnant people, UMC has developed an algorithm to more easily identify pregnancy-related reports in VigiBase.
Research / 21 January 2025
The READUS-PV statement is the first-ever guide for reports of disproportionality analyses that are replicable, reliable, and reproducible.
Research / 07 October 2024
AI holds potential to transform pharmacovigilance. But navigating the risks requires critical assessment. This article explores AI's evolving role in medicines safety.
Research / 22 October 2024