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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 1–25 of 56 papers

TitleStatusHype
PHEE: A Dataset for Pharmacovigilance Event Extraction from TextCode1
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational PharmacovigilanceCode1
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World PharmacovigilanceCode1
How Far Can We Go with Just Out-of-the-box BERT Models?—0
Identification of Adverse Drug Reaction Mentions in Tweets -- SMM4H Shared Task 2019—0
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating—0
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources—0
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation—0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum—0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms—0
Data, tools and resources for mining social media drug chatter—0
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide—0
Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling—0
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter—0
Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths—0
Automagically encoding Adverse Drug Reactions in MedDRA—0
Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
From narrative descriptions to MedDRA: automagically encoding adverse drug reactions—0
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review—0
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