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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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| Publicado no: | Ear Hear |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Williams And Wilkins
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6493679/ https://ncbi.nlm.nih.gov/pubmed/30142102 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/AUD.0000000000000649 |
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