Hearing loss prediction equation for Iranian truck drivers using neural network algorithm.

Journal: Work (Reading, Mass.)
PMID: 40337809

Abstract

BACKGROUND:  Given the high prevalence of hearing loss among truck drivers, using artificial neural networks (ANNs) to predict and detect contributing factors early can aid managers significantly.

Authors

  • Reza Esmaeili
    Student Research Committee, Department of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Hamed Aghapanah
    School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Hamideh Ghasemian
    Industrial Diseases Research Center, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
  • Maryam Ashouri
    Department of Occupational Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mojtaba Nakhaei Pour
    Student Research Committee, Department of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Ali Alboghobeish
    Student Research Committee, Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mahdi Jalali
    Department of Occupational Health Engineering, School of Health, Neyshabur University of Medical Sciences, Neyshabur, Iran.
  • Negar Ghotbi
    Student Research Committee, Department of Occupational Health and Safety Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Sayed Vahid Esmaeili
    Student Research Committee, Department of Occupational Health and Safety Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Keywords

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