MCMTNet: Advanced network architectures for EEG-based motor imagery classification DOI
Yingjie Yang, Xiu Zhang, Xin Zhang

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129255 - 129255

Published: Dec. 1, 2024

Language: Английский

Non-invasive Brain Stimulation-Based Sleep Stage Classification Using Transcranial Infrared Based Electrocardiogram DOI Creative Commons
Janjhyam Venkata Naga Ramesh,

Aadam Quraishi,

Yassine Aoudni

et al.

Neuroscience Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 100197 - 100197

Published: March 1, 2025

Language: Английский

Citations

0

ChannelMix-based transformer and convolutional multi-view feature fusion network for unsupervised domain adaptation in EEG emotion recognition DOI

Chengpeng Sun,

Xiujuan Wang,

Liubing Chen

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 280, P. 127456 - 127456

Published: April 11, 2025

Language: Английский

Citations

0

Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records DOI Creative Commons
Azza Abdel Monem,

Reem AlAleeli,

Khaled Shaalan

et al.

Computers, Journal Year: 2025, Volume and Issue: 14(4), P. 148 - 148

Published: April 14, 2025

This systematic study seeks to evaluate the use and impact of transformer models in healthcare domain, with a particular emphasis on their usefulness tackling key medical difficulties performing critical natural language processing (NLP) functions. The research questions focus how these can improve clinical decision-making through information extraction predictive analytics. Our findings show that models, especially applications like named entity recognition (NER) data analysis, greatly increase accuracy efficiency unstructured data. Notably, case studies demonstrated 30% boost notes 90% detection rate for malignancies imaging. These contributions emphasize revolutionary potential healthcare, therefore importance enhancing resource management patient outcomes. Furthermore, this paper emphasizes significant obstacles, such as reliance restricted datasets need format standardization, provides road map future applicability performance real-world settings.

Language: Английский

Citations

0

MCMTNet: Advanced network architectures for EEG-based motor imagery classification DOI
Yingjie Yang, Xiu Zhang, Xin Zhang

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129255 - 129255

Published: Dec. 1, 2024

Language: Английский

Citations

0