Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data

Background: Multivariable analyses (MVA) and machine learning (ML) applied on large datasets may have a high potential to provide clinical decision support in neuro-otology and reveal further avenues for vestibular research. To this end, we build base-ml, a comprehensive MVA/ML software tool, and ap...

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Detalles Bibliográficos
Autores principales: Vivar, Gerome, Strobl, Ralf, Grill, Eva, Navab, Nassir, Zwergal, Andreas, Ahmadi, Seyed-Ahmad
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/PMC8367819/
https://www.ncbi.nlm.nih.gov/pubmed/34413823
http://dx.doi.org/10.3389/fneur.2021.681140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367819/
https://www.ncbi.nlm.nih.gov/pubmed/34413823
http://dx.doi.org/10.3389/fneur.2021.681140

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