BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.

A collection of signal detection methods used in the field of pharmacovigilance

Smart Adverse Drug Reaction Assessment Tools.

FAERS Adverse Reaction Events database and OpenFDA API

This repository contains the code of Mining archive.org’s Twitter stream grab for Pharmacovigilance research gold paper.

For this problem, we proposed the use of bidirectional-LSTM’s(Long Short Term Memory) with 1-D CNN layer to classify patient notes at character level and at word level. The 1-D CNN is employed to scale back the training time. In order to improve the performance, we will also feed the network combined word embedding consisting of Pre-trained word…

An R package for simulating spontaneous reports

An R package containing functions for quantifying drug exposure using routinely collected prescribing databases

https://github.com/zietzm/phenotype_standardization/wiki

Code and Datasets for the paper "Towards early detection of adverse drug reactions: combining pre-clinical drug structures and post-market safety reports", published on BMC Medical Informatics and Decision Making in 2019.

R interface for FDA Adverse Event Reporting System

Rank aggregated signal detection for VAERS data

Regional ADR event detection using Deep Learning

Functions to extract drug records from the FAERS (FDA Adverse Event Reporting System) database

Structured lists (csv, xml, sql) for PV apps configuration & localization.

Drug Side Effect Checker - The Pharmacovigilance Dashboard Prototype build with FDA (FAERS) data

Adverse Drug Reactions to Report Any Pharmaceuticals and Medical Device Observations from Users

The PVClinical project aims to build a web-based platform, built to support Active Pharmacovigilance processes via the integration of several heterogeneous data sources.

a database for pediatric drug safety signals