一个基于同类微态的新型ST-GCN模型,用于对象独立的预测

Wei Shi1, Yi Shi2, Fangni Chen3

  • 1The Zhejiang Key Laboratory of Biomedical Intelligent Computing Technology and the College of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, 310000, China.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究引入了同源微态动态作为一种普遍的发作标记,在临床环境中实现了高预测准确性. 新的时空图卷积网络 (ST-GCN) 模型能够独立于对象的预测.