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

PURPOSE: This 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). METHODS: The MRI and clinical data of 612 patients diagnosed with AIS at the Se...

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Detalles Bibliográficos
Autores principales: Liu, Jianmo, Wu, Yifan, Jia, Weijie, Han, Mengqi, Chen, Yongsen, Li, Jingyi, Wu, Bin, Yin, Shujuan, Zhang, Xiaolin, Chen, Jibiao, Yu, Pengfei, Luo, Haowen, Tu, Jianglong, Zhou, Fan, Cheng, Xuexin, Yi, Yingping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192708/
https://www.ncbi.nlm.nih.gov/pubmed/37214402
http://dx.doi.org/10.3389/fnins.2023.1110579

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192708/
https://www.ncbi.nlm.nih.gov/pubmed/37214402
http://dx.doi.org/10.3389/fnins.2023.1110579

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