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Mini-project Pharma & Life Sciences

Adverse drug event explorer

Find unusual side-effect signals for medicines from public safety reports.

The brief

A pharmacovigilance team must spot new side effects early. Using public adverse-event reports, build an explorer that shows the most reported reactions for a medicine and flags reactions reported more often than expected. Good looks like: correct disproportionality scores, a searchable explorer, and a clear explanation of what the signals do and do not prove.

What you will build

  1. Download adverse-event reports for a group of medicines
  2. Clean drug names and reactions
  3. Compute disproportionality (PRR or ROR)
  4. Build a searchable explorer
  5. Write up limits of spontaneous reports

Free, open data to build it with

Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

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