BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
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Updated
Jan 29, 2024 - Jupyter Notebook
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance.
R interface for FDA Adverse Event Reporting System
A collection of signal detection methods used in the field of pharmacovigilance
A Unix-inspired command-line tool for searching scientific literature, built for terminal users who want speed, automation and minimal interfaces. Search PubMed, arXiv, Crossref, DOAJ and Europe PMC in one command, deduplicate results, export to BibTeX/RIS/CSV and more, and get new-paper alerts on email, Telegram, Slack and 14 other channels.
FAERS Adverse Reaction Events database and OpenFDA API
Smart Adverse Drug Reaction Assessment Tools.
This repository contains the code of Mining archive.org’s Twitter stream grab for Pharmacovigilance research gold paper.
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.
End-to-end AI pharmacovigilance platform for predicting adverse drug events and harm severity using FDA FAERS data.
Automated browser to download drug adverse reaction reports from the European Database of Suspected Adverse Reactions Reports (EudraVigilance)
a database for pediatric drug safety signals
An R package for simulating spontaneous reports
SurVigilance can be used to access and collect data from various pharmacovigilance databases around the world.
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 containing functions for quantifying drug exposure using routinely collected prescribing databases
Code and Datasets for the paper "A Computational Framework for Identifying Age Risks in Drug-Adverse Event Pairs", published on AMIA 2022 Informatics Summit.
The PVClinical project aims to build a web-based platform, built to support Active Pharmacovigilance processes via the integration of several heterogeneous data sources.
Safety signal detection in pharmacological data (pharmacovigilance)
MDDC offers methods for detecting signals related to (adverse event, drug) pairs, a data generation function for simulating pharmacovigilance datasets, and various utility functions.
To associate your repository with the pharmacovigilance topic, visit your repo's landing page and select "manage topics."