postmarket-surveillance

Here are 2 public repositories matching this topic...

MohamedMaroufMD / MAUDEMetrics

MAUDEMetrics: Open-source no-code desktop app (macOS, Windows) and Docker service for automated extraction and standardization of FDA MAUDE medical device adverse event data via the openFDA API. Bypasses the 26,000-record limit and produces reproducible, analysis-ready datasets — no programming required.

electron desktop-app python docker flask reproducible-research fda data-extraction adverse-events maude clinical-research no-code health-informatics openfda regulatory-affairs medical-devices regulatory-science data-standardization postmarket-surveillance

Updated Aug 1, 2026
Python

tat1a / breast-implant-safety-analysis

Star

Reproducible Python and Power BI analysis of 237,194 FDA MAUDE breast implant reports, with validated quality controls and responsible postmarket interpretation.

python power-bi pandas maude data-quality openfda breast-implants medical-device-safety healthcare-analytics clinical-data-analysis postmarket-surveillance

Updated Sep 14, 2026
Python

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