Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With Dystonia

Application of Machine Learning Using Decision Trees for Prognosis of Deep Brain Stimulation of Globus Pallidus Internus for Children With Dystonia

Background: While Deep Brain Stimulation (DBS) of the Globus pallidus internus is a well-established therapy for idiopathic/genetic dystonia, benefits for acquired dystonia are varied, ranging from modest improvement to deterioration. Predictive biomarkers to aid DBS prognosis for children are lacki...

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Bibliographic Details
Main Authors: Syed Ahmar Shah, Peter Brown, Hortensia Gimeno, Jean-Pierre Lin, Verity M. McClelland
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Neurology
Subjects:
dystonia
machine learning
deep brain stimulation
decision support systems
decision trees
Online Access:https://www.frontiersin.org/article/10.3389/fneur.2020.00825/full

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https://www.frontiersin.org/article/10.3389/fneur.2020.00825/full

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