Weeding out duplicates to better detect side-effects – New podcast episode

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.

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