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

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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Bibliographic Details
Main Authors: Gerome Vivar, Ralf Strobl, Eva Grill, Nassir Navab, Andreas Zwergal, Seyed-Ahmad Ahmadi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Neurology
Subjects:
chronic vestibular disorders
classification
machine learning
multivariable statistics
clinical decision support (cdss)
episodic vestibular symptoms
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2021.681140/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2021.681140/full

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