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

и другие.

Neurocomputing, Год журнала: 2024, Номер unknown, С. 129255 - 129255

Опубликована: Дек. 1, 2024

Язык: 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

и другие.

Neuroscience Informatics, Год журнала: 2025, Номер unknown, С. 100197 - 100197

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

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

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер 280, С. 127456 - 127456

Опубликована: Апрель 11, 2025

Язык: Английский

Процитировано

0

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

Reem AlAleeli,

Khaled Shaalan

и другие.

Computers, Год журнала: 2025, Номер 14(4), С. 148 - 148

Опубликована: Апрель 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.

Язык: Английский

Процитировано

0

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

и другие.

Neurocomputing, Год журнала: 2024, Номер unknown, С. 129255 - 129255

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0