A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study

BACKGROUND AND PURPOSE: Recurrent stroke accounts for 25–30% of all preventable strokes, and this study was conducted to establish a machine learning-based clinical predictive rice idol for predicting stroke recurrence within 1 year in patients with acute ischemic stroke (AIS). METHODS: A total of 6...

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Detalles Bibliográficos
Autores principales: Wang, Kai, Shi, Qianqian, Sun, Chao, Liu, Wencai, Yau, Vicky, Xu, Chan, Liu, Haiyan, Sun, Chenyu, Yin, Chengliang, Wei, Xiu’e, Li, Wenle, Rong, Liangqun
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/PMC10084928/
https://www.ncbi.nlm.nih.gov/pubmed/37051146
http://dx.doi.org/10.3389/fnins.2023.1130831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084928/
https://www.ncbi.nlm.nih.gov/pubmed/37051146
http://dx.doi.org/10.3389/fnins.2023.1130831

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