Machine Learning Models for the Hearing Impairment Prediction in Workers Exposed to Complex Industrial Noise: A Pilot Study
2018 · Ear and Hearing · 80 citations
https://doi.org/10.1097/aud.0000000000000649
M
Meibian Zhang
National Institute for Occupational Health and Poison Control(CN)
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Meibian Zhang is an academic researcher from National Institute for Occupational Health and Poison Control. The author has contributed to research in topics: Noise Effects and Management & Hearing Loss and Rehabilitation & Hearing, Cochlea, Tinnitus, Genetics. The author has an h-index of 26, co-authored 140 publications.
ORCID: 0000-0002-6839-737XPapers by this author
worksThe prevalence of occupational exposure to noise: A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury
2021 · Environment International · 57 citations
https://doi.org/10.1016/j.envint.2021.106380
Characteristics of iron status, oxidation response, and DNA methylation profile in response to occupational iron oxide nanoparticles exposure
2020 · Toxicology and Industrial Health · 9 citations
https://doi.org/10.1177/0748233720918683
Investigation of critical factors influencing the underestimation of hearing loss predicted by the ISO 1999 predicting model
2023 · BMC Public Health · 6 citations
https://doi.org/10.1186/s12889-023-17138-w
Progress and recommendations of developing occupational exposure limits for noise–A systematic review
2024 · Heliyon · 6 citations
https://doi.org/10.1016/j.heliyon.2024.e37878
[Structural equation analysis and modeling of fect and ankles WMSDs and its adverse ergonomic factors].
2025 · PubMed · 0 citations
https://doi.org/10.3760/cma.j.cn121094-20240703-00297
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