R interface for FDA Adverse Event Reporting System
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Updated
Apr 10, 2026 - R
R interface for FDA Adverse Event Reporting System
AdEPro (Animation of Adverse Event Profiles) is a Shiny application for the (audio-)visualization of adverse events during clinical trials
Population-scale patient safety data reveal inequalities in adverse events before and during COVID-19 pandemic
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
The DetectoR R Shiny app provides a handy platform allowing for early identification of signals and an ongoing monitoring of safety along the medical product development phase and lifecycle.
IEEE BIBM 2021: Bayesian optimization-guided topic modeling for automatic detection of sepsis-related events from free text
The Shakespeare-Method repository contains the code we used to develop a new method to identify attributed and unattributed potential adverse events using the unstructured notes portion of electronic health records.
OAE: Ontology of Adverse Events
Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data
A robust tool for loading MedDRA files into a database with batch processing support.
OVAE is the Ontology of Vaccine Adverse Events
Risk Prediction of COVID-19 Vaccine Adverse Event by using Bayesian Network
Safety and Efficacy Figures based on ADaM datasets using SAS version 9.4
Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.
Open-source pharmacovigilance engine for FDA adverse event signal detection. Provides validated statistical primitives (PRR, ROR, IC), MedDRA mapping, and reproducibility tools for drug safety research.
Reportable clinic events, reference ranges, grading
Author: Cong Zhu. Purpose: code for paper "Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA."
PULSE is a comprehensive public health analytics platform that aggregates, visualizes, and analyzes data from multiple authoritative health data sources — including disease.sh (COVID-19 global statistics), OpenFDA (adverse drug events), and CDC NWSS (wastewater surveillance). Built with React and Recharts, PULSE provides real-time dashboards🦠🏥🩺.
Adverse Event classes
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