Hostname: page-component-7bb8b95d7b-cx56b Total loading time: 0 Render date: 2024-09-27T21:36:41.603Z Has data issue: false hasContentIssue false
  • English
  • Français
Accepted manuscript

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

Published online by Cambridge University Press:  09 May 2024

Emre Soylemez Open the ORCID record for Emre Soylemez [Opens in a new window] ,
Isa Avci ,
Elif Yildirim ,
Engin Karaboya ,
Nihat Yilmaz ,
Süha Ertugrul  and
Suna Tokgoz-Yilmaz
Emre Soylemez*
Affiliation:
Department of Audiometry, Vocational School of Health Services, Karabuk University, Karabuk, Turkey. Ankara University, Health Sciences Institute, Audiology and Speech Pathology Ph.D. Program, Ankara, Turkey. Audiology, Balance and Speech Disorders Unit, Medical Faculty, Ankara University, Ankara, Turkey.
Isa Avci
Affiliation:
Department of Computer Engineering, Karabuk University Turkey.
Elif Yildirim
Affiliation:
Department of Computer Engineering, Karabuk University Turkey.
Engin Karaboya
Affiliation:
Department of Audiology, Karabuk Training and Research Hospital, Turkey.
Nihat Yilmaz
Affiliation:
Department of Otorhinolaryngology, Karabuk University, Turkey.
Süha Ertugrul
Affiliation:
Department of Otorhinolaryngology, Karabuk University, Turkey.
Suna Tokgoz-Yilmaz
Affiliation:
Department of Audiology, Faculty of Health Sciences, Ankara University, Ankara, Turkey. Audiology, Balance and Speech Disorders Unit, Medical Faculty, Ankara University, Ankara, Turkey.
*
Emre Soylemez (Lecturer, Corresponding Author); e-mail: emresoylemez@karabuk.edu.tr, Phone: +905523952511, Address: Karabük University Vocational School of Health Services, Audiometry Program
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Research Article
Information
The Journal of Laryngology & Otology , Accepted manuscript , pp. 1 - 18
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED