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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 31–40 of 56 papers

TitleStatusHype
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021—0
#phramacovigilance - Exploring Deep Learning Techniques for Identifying Mentions of Medication Intake from Twitter—0
Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection—0
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
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events—0
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