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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 1–25 of 56 papers

TitleStatusHype
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational PharmacovigilanceCode1
PHEE: A Dataset for Pharmacovigilance Event Extraction from TextCode1
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World PharmacovigilanceCode1
Enhancing Pharmacovigilance with Drug Reviews and Social MediaCode0
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summariesCode0
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical StudyCode0
PVLens: Enhancing Pharmacovigilance Through Automated Label ExtractionCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health RecordsCode0
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across LanguagesCode0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
An Investigation of Recurrent Neural Architectures for Drug Name RecognitionCode0
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model DevelopmentCode0
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer PharmacovigilanceCode0
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language ModelsCode0
Improving Adverse Drug Event Extraction with SpanBERT on Different Text TypologiesCode0
Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
From narrative descriptions to MedDRA: automagically encoding adverse drug reactions—0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings—0
Drug–drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths—0
Automagically encoding Adverse Drug Reactions in MedDRA—0
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