Constructing Prediction Models for Freezing of Gait by Nomogram and Machine Learning: A Longitudinal Study

Constructing Prediction Models for Freezing of Gait by Nomogram and Machine Learning: A Longitudinal Study

Objectives: Although risk factors for freezing of gait (FOG) have been reported, there are still few prediction models based on cohorts that predict FOG. This 1-year longitudinal study was aimed to identify the clinical measurements closely linked with FOG in Chinese patients with Parkinson's d...

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Bibliographic Details
Main Authors: Kun Xu, Xiao-xia Zhou, Run-cheng He, Zhou Zhou, Zhen-hua Liu, Qian Xu, Qi-ying Sun, Xin-xiang Yan, Xin-yin Wu, Ji-feng Guo, Bei-sha Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Neurology
Subjects:
freezing of gait
risk factors
prediction model
statistics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.684044/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.684044/full

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