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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 26–50 of 56 papers

TitleStatusHype
Interpreting Classifiers through Attribute Interactions in Datasets—0
Investigating ADR mechanisms with knowledge graph mining and explainable AI—0
Learning for Biomedical Information Extraction: Methodological Review of Recent Advances—0
Mining the Web for Pharmacovigilance: the Case Study of Duloxetine and Venlafaxine—0
Multi-Task Pharmacovigilance Mining from Social Media Posts—0
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
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum—0
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources—0
Analysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining—0
Automagically encoding Adverse Drug Reactions in MedDRA—0
Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings—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
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