Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning

Title
Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning
Authors
Keywords
Postural control, Machine learning, Ellipses, Machine learning algorithms, Medical risk factors, Permutation, Research errors, Algorithms
Journal
PLoS One
Volume 16, Issue 2, Pages e0246790
Publisher
Public Library of Science (PLoS)
Online
2021-02-26
DOI
10.1371/journal.pone.0246790

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