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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 1–50 of 56 papers

TitleStatusHype
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
PHEE: A Dataset for Pharmacovigilance Event Extraction from TextCode1
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation—0
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer PharmacovigilanceCode0
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide—0
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language ModelsCode0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
PVLens: Enhancing Pharmacovigilance Through Automated Label ExtractionCode0
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem—0
Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model DevelopmentCode0
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across LanguagesCode0
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical StudyCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora—0
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation—0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021—0
Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects—0
Improving Adverse Drug Event Extraction with SpanBERT on Different Text TypologiesCode0
Investigating ADR mechanisms with knowledge graph mining and explainable AI—0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
How Far Can We Go with Just Out-of-the-box BERT Models?—0
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating—0
Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection—0
Detecting Adverse Drug Reactions from Twitter through Domain-Specific Preprocessing and BERT Ensembling—0
Enhancing Pharmacovigilance with Drug Reviews and Social MediaCode0
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources—0
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summariesCode0
Identification of Adverse Drug Reaction Mentions in Tweets -- SMM4H Shared Task 2019—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review—0
Did you take the pill? - Detecting Personal Intake of Medicine from Twitter—0
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter—0
Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings—0
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter—0
Multi-Task Pharmacovigilance Mining from Social Media Posts—0
Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths—0
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction—0
Interpreting Classifiers through Attribute Interactions in Datasets—0
From narrative descriptions to MedDRA: automagically encoding adverse drug reactions—0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance—0
Data, tools and resources for mining social media drug chatter—0
Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine—0
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