Article

Exploiting Question-Answer framework with multi-GRU to detect Adverse Drug Reaction on social media

2024-07-26

Abstract excerpt

<title>Abstract</title> <p>Adverse Drug Reactions (ADRs) stand out as a pressing challenge in public health and a critical aspect of drug discovery. The dilemma arises from the inherent impossibility of conducting a comprehensive evaluation of a drug before its market release, constrained by the limitations in scale and duration of clinical trials. Therefore, the post-marketing detection of ADRs in a timely and a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 7a544dd3-6fbe-5524-95de-b5dbf8d6af8b
DOI: 10.21203/rs.3.rs-4666002/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Exploiting Question-Answer framework with multi-GRU to detect Adverse Drug Reaction on social mediaDOI 10.21203/rs.3.rs-4666002/v1Read

Quantifying the severity of adverse drug reactions using social mediaSemantic proximity Read

C-PsyD: A Chinese text classification model for detecting psychological problemsSemantic proximity Read

A Multi-Model Artificial Intelligence Framework for Knowledge Extraction from Patient Drug ReviewsSemantic proximity Read

NRF2 drug repurposing using a question-answer artificial intelligence systemSemantic proximity Read

Drug or Pokémon? Large language model performance in identification of fabricated medicationsSemantic proximity Read

Zhixin: An Instruction-Tuned Large Language Model for Mental Disorder DiagnosisSemantic proximity Read

Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language ModelsSemantic proximity Read

CONORM: Context-Aware Entity Normalization for Adverse Drug Event DetectionSemantic proximity Read

DeepADR: Multi-modal Prediction of Adverse Drug Reaction Frequency by Integrating Early-Stage Drug Discovery Information via Kolmogorov-Arnold NetworksSemantic proximity Read

Evaluating The Effectiveness Of Graph Convolutional Network For Detection Of Polypharmacy Side EffectsSemantic proximity Read

Deep learning application to automatic classification of recommendations made by hospital pharmacists during drug prescription reviewSemantic proximity Read

Promoting Appropriate Medication Use Leveraging Medical Big DataSemantic proximity Read