A predictive model based on random forest for shoulder-hand syndrome

OBJECTIVES: The shoulder-hand syndrome (SHS) severely impedes the function recovery process of patients after stroke. It is incapable to identify the factors at high risk for its occurrence, and there is no effective treatment. This study intends to apply the random forest (RF) algorithm in ensemble...

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Detalles Bibliográficos
Autores principales: Yu, Suli, Yuan, Jing, Lin, Hua, Xu, Bing, Liu, Chi, Shen, Yundong
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/PMC10102379/
https://www.ncbi.nlm.nih.gov/pubmed/37065924
http://dx.doi.org/10.3389/fnins.2023.1124329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102379/
https://www.ncbi.nlm.nih.gov/pubmed/37065924
http://dx.doi.org/10.3389/fnins.2023.1124329

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