Pattern analysis of peripheral-vestibular deficits with machine learning using hierarchical clustering-Reference-Cited by-同舟云学术

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Pattern analysis of peripheral-vestibular deficits with machine learning using hierarchical clustering

Published:2022-03 Issue: Volume:434 Page:120159
ISSN:0022-510X
Container-title:Journal of the Neurological Sciences
language:en
Short-container-title:Journal of the Neurological Sciences

Author:

Tarnutzer A.A.,Weber K.P.

Funder

Uniscientia Stiftung

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology

Reference30 articles.

1. Impulsive testing of semicircular-canal function using video-oculography;Weber;Ann. N. Y. Acad. Sci.,2009

2. The video Head Impulse Test (vHIT) detects vertical semicircular canal dysfunction;Macdougall;PLoS One,2013

3. Vestibular evoked myogenic potentials in practice: methods, pitfalls and clinical applications;Rosengren;Clin. Neurophysiol. Pract.,2019

4. Clinical utility of ocular vestibular-evoked myogenic potentials (oVEMPs);Weber;Curr. Neurol. Neurosci. Rep.,2015

5. Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders;Ahmadi;J. Neurol.,2020

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