SRPNet: stroke risk prediction based on two-level feature selection and deep fusion network

SRPNet: stroke risk prediction based on two-level feature selection and deep fusion network

BackgroundStroke is one of the major chronic non-communicable diseases (NCDs) with high morbidity, disability and mortality. The key to preventing stroke lies in controlling risk factors. However, screening risk factors and quantifying stroke risk levels remain challenging.MethodsA novel prediction...

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Bibliographic Details
Main Authors: Daoliang Zhang, Na Yu, Xiaodan Yang, Yang De Marinis, Zhi-Ping Liu, Rui Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Physiology
Subjects:
stroke risk prediction
feature selection
deep fusion network
transformer
stroke risk factors
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1357123/full
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