Big Data analysis of 7.8M FDA FAERS adverse event reports — Signal detection, NLP, Clustering | Python · Plotly
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Updated
Mar 13, 2026 - Jupyter Notebook
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fda-faers
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This project applies pharmacovigilance signal detection to 6,000 FDA adverse event reports across five pharmaceutical products to identify elevated drug reaction signals, demographic risk profiles and mortality trends supporting regulatory safety monitoring decisions.
python sql postgresql jupyter-notebook power-bi biostatistics data-analysis adverse-events signal-detection drug-safety real-world-data pharmacovigilance pharmaceuticals reporting-odds-ratio healthcare-analytics clinical-data-analysis fda-faers
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Updated
May 28, 2026 - Jupyter Notebook
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