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

Journal: Headache
PMID: 40079713

Abstract

OBJECTIVES: To perform a systematic review and meta-analysis to evaluate the effectiveness of machine learning (ML) algorithms in the diagnosis of vestibular migraine.

Authors

  • Pablo D Suarez-Barcena
    Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.
  • Alberto M Parra-Perez
    Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.
  • Juan Martín-Lagos
    Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.
  • Alvaro Gallego-Martinez
    Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.
  • Jose A Lopez-Escámez
    Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.
  • Patricia Perez-Carpena
    Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.

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