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

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

ObjectivesThe 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 l...

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Bibliographic Details
Main Authors: Suli Yu, Jing Yuan, Hua Lin, Bing Xu, Chi Liu, Yundong Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroscience
Subjects:
ensemble learning
random forest
shoulder-hand syndrome
stroke rehabilitation
predictive model
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1124329/full

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