Applying machine learning algorithms to explore the impact of combined noise and dust on hearing los...
Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations
About this item
Full title
Author / Creator
Li, Yong , Sun, Xin , Qu, Yongtao , Yang, Shuling , Zhai, Yueyi and Qu, Yan
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
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 Examination Center (2017–2023) were analyzed. Workers with...
Alternative Titles
Full title
Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_203c8d8a64184872b3ad83d846becbfe
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_203c8d8a64184872b3ad83d846becbfe
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-93976-5
