Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

BACKGROUND: Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. OBJECTIVE: This study aimed to develop a model to identify the cause of stroke using machine learning (ML) methods and t...

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Detalles Bibliográficos
Autores principales: Wang, Jianan, Gong, Xiaoxian, Chen, Hongfang, Zhong, Wansi, Chen, Yi, Zhou, Ying, Zhang, Wenhua, He, Yaode, Lou, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051333/
https://www.ncbi.nlm.nih.gov/pubmed/35493925
http://dx.doi.org/10.3389/fnagi.2022.788637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051333/
https://www.ncbi.nlm.nih.gov/pubmed/35493925
http://dx.doi.org/10.3389/fnagi.2022.788637

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