Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics

OBJECTIVE: This study aims to establish a radiomics-based machine learning model that predicts the risk of transient ischemic attack in patients with mild carotid stenosis (30–50% North American Symptomatic Carotid Endarterectomy Trial) using extracted computed tomography radiomics features and clin...

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Detalles Bibliográficos
Autores principales: Xia, Hai, Yuan, Lei, Zhao, Wei, Zhang, Chenglei, Zhao, Lingfeng, Hou, Jialin, Luan, Yancheng, Bi, Yuxin, Feng, Yaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944715/
https://www.ncbi.nlm.nih.gov/pubmed/36846119
http://dx.doi.org/10.3389/fneur.2023.1105616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944715/
https://www.ncbi.nlm.nih.gov/pubmed/36846119
http://dx.doi.org/10.3389/fneur.2023.1105616

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