Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot Study

OBJECTIVES: To demonstrate the feasibility of developing machine learning models for the prediction of hearing impairment in humans exposed to complex non-Gaussian industrial noise. DESIGN: Audiometric and noise exposure data were collected on a population of screened workers (N = 1,113) from 17 fac...

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Detalles Bibliográficos
Autores principales: Zhao, Yanxia, Li, Jingsong, Zhang, Meibian, Lu, Yao, Xie, Hongwei, Tian, Yu, Qiu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Williams And Wilkins 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493679/
https://www.ncbi.nlm.nih.gov/pubmed/30142102
http://dx.doi.org/10.1097/AUD.0000000000000649

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6493679/
https://www.ncbi.nlm.nih.gov/pubmed/30142102
http://dx.doi.org/10.1097/AUD.0000000000000649

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