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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 26–50 of 56 papers

TitleStatusHype
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
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide—0
Data, tools and resources for mining social media drug chatter—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
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
From narrative descriptions to MedDRA: automagically encoding adverse drug reactions—0
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation—0
Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review—0
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
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
Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation—0
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter—0
Interpreting Classifiers through Attribute Interactions in Datasets—0
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
GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer PharmacovigilanceCode0
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summariesCode0
An Investigation of Recurrent Neural Architectures for Drug Name RecognitionCode0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
PVLens: Enhancing Pharmacovigilance Through Automated Label ExtractionCode0
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