Developing a Diagnostic Decision Support System for Benign Paroxysmal Positional Vertigo Using a Deep-Learning Model

Background: Diagnosis of benign paroxysmal positional vertigo (BPPV) depends on the accurate interpretation of nystagmus induced by positional tests. However, difficulties in interpreting eye-movement often can arise in primary care practice or emergency room. We hypothesized that the use of machine...

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Detalles Bibliográficos
Autores principales: Lim, Eun-Cheon, Park, Jeong Hye, Jeon, Han Jae, Kim, Hyung-Jong, Lee, Hyo-Jeong, Song, Chang-Geun, Hong, Sung Kwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571642/
https://www.ncbi.nlm.nih.gov/pubmed/31072056
http://dx.doi.org/10.3390/jcm8050633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571642/
https://www.ncbi.nlm.nih.gov/pubmed/31072056
http://dx.doi.org/10.3390/jcm8050633

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