Modern machine-learning can support diagnostic differentiation of central and peripheral acute vesti...
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders
About this item
Full title
Author / Creator
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Background
Diagnostic classification of central vs. peripheral etiologies in acute vestibular disorders remains a challenge in the emergency setting. Novel machine-learning methods may help to support diagnostic decisions. In the current study, we tested the performance of standard and machine-learning approaches in the classification of consecu...
Alternative Titles
Full title
Modern machine-learning can support diagnostic differentiation of central and peripheral acute vestibular disorders
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7718180
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7718180
Other Identifiers
ISSN
0340-5354
E-ISSN
1432-1459
DOI
10.1007/s00415-020-09931-z
