Prediction of Freezing of Gait in Parkinson’s Disease Using a Random Forest Model Based on an Orthogonal Experimental Design: A Pilot Study

PURPOSE: The purpose of this study was to introduce an orthogonal experimental design (OED) to improve the efficiency of building and optimizing models for freezing of gait (FOG) prediction. METHODS: A random forest (RF) model was developed to predict FOG by using acceleration signals and angular ve...

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Detalles Bibliográficos
Autores principales: Chen, Zhonelue, Li, Gen, Gao, Chao, Tan, Yuyan, Liu, Jun, Zhao, Jin, Ling, Yun, Yu, Xiaoliu, Ren, Kang, Chen, Shengdi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044955/
https://www.ncbi.nlm.nih.gov/pubmed/33867959
http://dx.doi.org/10.3389/fnhum.2021.636414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044955/
https://www.ncbi.nlm.nih.gov/pubmed/33867959
http://dx.doi.org/10.3389/fnhum.2021.636414

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