Prediction of Vestibular Dysfunction by Applying Machine Learning Algorithms to Postural Instability

Objective: To evaluate various machine learning algorithms in predicting peripheral vestibular dysfunction using the dataset of the center of pressure (COP) sway during foam posturography measured from patients with dizziness. Study Design: Retrospective study. Setting: Tertiary referral center. Pat...

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Detalles Bibliográficos
Autores principales: Kamogashira, Teru, Fujimoto, Chisato, Kinoshita, Makoto, Kikkawa, Yayoi, Yamasoba, Tatsuya, Iwasaki, Shinichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013037/
https://www.ncbi.nlm.nih.gov/pubmed/32116997
http://dx.doi.org/10.3389/fneur.2020.00007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013037/
https://www.ncbi.nlm.nih.gov/pubmed/32116997
http://dx.doi.org/10.3389/fneur.2020.00007

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