Pharmacovigilance
12 papers with code • 0 benchmarks • 0 datasets
Identifying adverse drug events and suspect drugs
Benchmarks
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Most implemented papers
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records
Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs.
An Investigation of Recurrent Neural Architectures for Drug Name Recognition
Drug name recognition (DNR) is an essential step in the Pharmacovigilance (PV) pipeline.
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
The recurrent neural networks that use the pre-trained domain-specific word embeddings and a CRF layer for label optimization perform drug, adverse event and related entities extraction with micro-averaged F1-score of over 91%.
Enhancing Pharmacovigilance with Drug Reviews and Social Media
This paper explores whether the use of drug reviews and social media could be leveraged as potential alternative sources for pharmacovigilance of adverse drug reactions (ADRs).
Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies
shivamraval98/multitask-t5_ae
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In recent years, Internet users are reporting Adverse Drug Events (ADE) on social media, blogs and health forums.
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
zhaoyuesun/phee
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The primary goal of drug safety researchers and regulators is to promptly identify adverse drug reactions.
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
We introduce BioDEX, a large-scale resource for Biomedical adverse Drug Event Extraction, rooted in the historical output of drug safety reporting in the U. S. BioDEX consists of 65k abstracts and 19k full-text biomedical papers with 256k associated document-level safety reports created by medical experts.
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction
ailabudinegit/ade-detection-survey
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Adverse Event (ADE) extraction is one of the core tasks in digital pharmacovigilance, especially when applied to informal texts.
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study
With the advent of large language models (LLMs), there has been growing interest in exploring their potential for medical applications.
