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...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Kun, Zhou, Xiao-xia, He, Run-cheng, Zhou, Zhou, Liu, Zhen-hua, Xu, Qian, Sun, Qi-ying, Yan, Xin-xiang, Wu, Xin-yin, Guo, Ji-feng, Tang, Bei-sha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686836/
https://www.ncbi.nlm.nih.gov/pubmed/34938251
http://dx.doi.org/10.3389/fneur.2021.684044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8686836/
https://www.ncbi.nlm.nih.gov/pubmed/34938251
http://dx.doi.org/10.3389/fneur.2021.684044

Ejemplares similares