Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations

Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations

Abstract This study aimed to explore the combined impacts of occupational noise and dust on hearing and extra-auditory functions and identify associated risk factors via machine learning techniques. Data from 14,145 workers (627 with occupational noise-induced hearing loss (ONIHL)) at Hebei Medical...

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Bibliographic Details
Main Authors: Yong Li, Xin Sun, Yongtao Qu, Shuling Yang, Yueyi Zhai, Yan Qu
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Occupational exposure
Noise and dust
Hearing loss
Machine learning algorithms
Risk factors
Online Access:https://doi.org/10.1038/s41598-025-93976-5
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