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Pharmacovigilance

Identifying adverse drug events and suspect drugs

Papers

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Showing 21–30 of 56 papers

TitleStatusHype
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events—0
A Pharmacovigilance Application of Social Media Mining: An Ensemble Approach for Automated Classification and Extraction of Drug Mentions in Tweets—0
Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects—0
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021—0
Improving Adverse Drug Event Extraction with SpanBERT on Different Text TypologiesCode0
Investigating ADR mechanisms with knowledge graph mining and explainable AI—0
Overview of the Fifth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2020—0
How Far Can We Go with Just Out-of-the-box BERT Models?—0
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating—0
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