Predicting noise-induced hearing loss with machine learning: the influence of tinnitus as a predictive factor.

Journal: The Journal of laryngology and otology
PMID: 38719484

Abstract

OBJECTIVES: This study aimed to determine which machine learning model is most suitable for predicting noise-induced hearing loss and the effect of tinnitus on the models' accuracy.

Authors

  • Emre Soylemez
    Department of Audiometry, Vocational School of Health Services, Karabuk University, Karabuk, Türkiye.
  • Isa Avci
    Department of Computer Engineering, Karabuk University, Karabuk, Türkiye.
  • Elif Yildirim
    Department of Computer Engineering, Karabuk University, Karabuk, Türkiye.
  • Engin Karaboya
    Department of Audiology, Karabuk Training and Research Hospital, Karabuk, Türkiye.
  • Nihat Yilmaz
    Department of Otorhinolaryngology, Karabuk University, Karabuk, Türkiye.
  • Süha Ertugrul
    Department of Otorhinolaryngology, Karabuk University, Karabuk, Türkiye.
  • Suna Tokgoz-Yilmaz
    Department of Audiology, Faculty of Health Sciences, Ankara University, Ankara, Türkiye.

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