Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta‐analysis

Objectives To perform a systematic review and meta‐analysis to evaluate the effectiveness of machine learning (ML) algorithms in the diagnosis of vestibular migraine. Background Due to the absence of defined biomarkers for diagnosing vestibular migraine (VM), it is valuable to determine which clinic...

Full description

Saved in:

Bibliographic Details
Published in:	Headache Vol. 65; no. 4; pp. 695 - 708
Main Authors:	Suarez‐Barcena, Pablo D., Parra‐Perez, Alberto M., Martín‐Lagos, Juan, Gallego‐Martinez, Alvaro, Lopez‐Escámez, Jose A., Perez‐Carpena, Patricia
Format:	Journal Article
Language:	English
Published:	United States Wiley Subscription Services, Inc 01.04.2025
Subjects:	Accuracy Algorithms Artificial intelligence Biomarkers Bivariate analysis Classification Algorithms Diagnosis differential diagnosis Effectiveness Headache Humans Learning algorithms Machine Learning Meta-analysis Migraine Migraine Disorders - diagnosis Quality assessment Quality control Reviews Systematic review Vestibular Diseases - diagnosis vestibular migraine Vestibular system Vestibular tests classification algorithms differential diagnosis vestibular migraine machine learning
ISSN:	0017-8748, 1526-4610, 1526-4610
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!