Association of self-reported noise exposure and audiograms processed with algorithms proposed to quantify noise-induced hearing loss-Reference-Cited by-同舟云学术

Association of self-reported noise exposure and audiograms processed with algorithms proposed to quantify noise-induced hearing loss

Published:2021-10-11 Issue: Volume: Page:1-9
ISSN:1499-2027
Container-title:International Journal of Audiology
language:en
Short-container-title:International Journal of Audiology

Author:

Pudrith Charles¹,Phillips Susan²,Labban Jeffrey³^ORCID

Affiliation:

1. School of Allied Health and Communicative Disorders, Northern Illinois University, DeKalb, IL, USA

2. Department of Communication Sciences and Disorders, University of North Carolina at Greensboro, Greensboro, NC, USA

3. School of Health and Human Sciences, University of North Carolina at Greensboro, Greensboro, NC, USA

Publisher

Informa UK Limited

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

Link

https://www.tandfonline.com/doi/pdf/10.1080/14992027.2021.1983216

Reference28 articles.

1. Is it reasonable to use 1 and 8 kHz anchor points in the medico-legal diagnosis and estimation of noise-induced hearing loss?

2. The cost of dichotomising continuous variables

3. Determinants of the Audiometric Notch at 4000 and 6000 Hz in Young Adults

4. Centers for Disease Control and Prevention, National Center for Health Statistics 2011. National Health and Nutrition Examination Survey (NHANES) Audiometry Procedures Manual. U.S. Department of Health and Human Services. https://wwwn.cdc.gov/nchs/data/nhanes/2011-2012/manuals/Audiometry_Procedures_Manual.pdf

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1. Sensitivity of Methods for Diagnosing Noise-Induced Hearing Loss in Cases of Exposures Including Intense Low-Frequency Noise;Trends in Hearing;2024-01

2. A history of occupational noise exposure is associated with steep-slope audiograms and poorer self-reported hearing-aid outcomes;International Journal of Audiology;2023-11

3. Diagnosing Noise-Induced Hearing Loss Sustained During Military Service Using Deep Neural Networks;Trends in Hearing;2023-01

4. Modification of a Method for Diagnosing Noise-Induced Hearing Loss Sustained During Military Service;Trends in Hearing;2022-01