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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 21–30 of 56 papers

TitleStatusHype
Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects—0
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction—0
Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs—0
The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem—0
The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora—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
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
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