Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance

S Lee, S Kim, J Lee, JY Kim, MH Song, S Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Explainable AI (XAI) is a methodology that complements the black box of artificial
intelligence, and its necessity has recently been highlighted in various fields. The purpose of …

A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition

Z Guan, X Zhou - BMC bioinformatics, 2023 - Springer
Background The biomedical literature is growing rapidly, and it is increasingly important to
extract meaningful information from the vast amount of literature. Biomedical named entity …

Utilizing nanotechnology and advanced machine learning for early detection of gastric cancer surgery

D Wu, J Lu, N Zheng, MG Elsehrawy, FA Alfaiz… - Environmental …, 2024 - Elsevier
Nanotechnology has emerged as a promising frontier in revolutionizing the early diagnosis
and surgical management of gastric cancers. The primary factors influencing curative …

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

S Ji, Y Gao, P Marttinen - arXiv preprint arXiv:2301.10451, 2023 - arxiv.org
Adverse drug events (ADEs) are an important aspect of drug safety. Various texts such as
biomedical literature, drug reviews, and user posts on social media and medical forums …

Multiple features-based adverse drug reaction detection from social media using deep convolutional neural networks (DCNN)

S Spandana, RV Prakash - Multimedia Tools and Applications, 2024 - Springer
Adverse drug responses (ADRs) are unfavourable side effects of using a medication that
result from the medication's pharmacological activity. Social media has gained popularity …

Hierarchical Classification of Adverse Events Based on Consumer's Comments

M Kaczorowska, P Szymczak, S Tkachuk - International Conference on …, 2023 - Springer
This paper focuses on autonomously classifying adverse events based on consumers'
comments regarding health and hygiene products. The data, comprising over 152,000 …

Improvements in adverse drug reaction prediction

W Zhu, Y Wang, Y Ma, P Wang… - Journal of Physics …, 2023 - iopscience.iop.org
This report investigates prediction on adverse drug reactions (ADR) with kernel and
imbalance data mechanisms. The hypothesis is that different types of kernel lead to different …

Extracting health information from social media

AKMR Hasan - 2022 - eprints.bbk.ac.uk
Social media platforms with large user bases such as Twitter, Reddit, and online health
forums contain a rich amount of health-related information. Despite the advances achieved …