Machine Learning Models for Predicting Sudden Sensorineural Hearing Loss Outcome: A Systematic Review.

Journal: The Annals of otology, rhinology, and laryngology
PMID:

Abstract

BACKGROUND: Machine Learning models have been applied in various healthcare fields, including Audiology, to predict disease outcomes. The prognosis of sudden sensorineural hearing loss is difficult to predict due to the variable course of the disease. Hence, researchers have attempted to utilize ML models to predict the outcome of patients with sudden sensorineural hearing loss. The objectives of this study were to review the performance of these machine learning models and assess their applicability in real-world settings.

Authors

  • Amirhossein Aghakhani
    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
  • Milad Yousefi
    Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, Iran.
  • Mir Saeed Yekaninejad
    Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.