Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics

Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics

PurposeThis study aimed to investigate the value of a machine learning-based magnetic resonance imaging (MRI) radiomics model in predicting the risk of recurrence within 1 year following an acute ischemic stroke (AIS).MethodsThe MRI and clinical data of 612 patients diagnosed with AIS at the Second...

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Bibliographic Details
Main Authors: Jianmo Liu, Yifan Wu, Weijie Jia, Mengqi Han, Yongsen Chen, Jingyi Li, Bin Wu, Shujuan Yin, Xiaolin Zhang, Jibiao Chen, Pengfei Yu, Haowen Luo, Jianglong Tu, Fan Zhou, Xuexin Cheng, Yingping Yi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Neuroscience
Subjects:
machine learning
radiomics
ischemic stroke
recurrence prediction
diffusion-weighted imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1110579/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1110579/full

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