A risk model and nomogram for high-frequency hearing loss in noise-exposed workers
Bibliographic Data
| ID | 15360668 |
|---|---|
| Authors | Ruican Sun (Sichuan University, corresponding author), Weiwei Shang (0000-0002-6742-4954, Sichuan Center for Disease Control and Prevention), Yingqiong Cao (Sichuan Center for Disease Control and Prevention), Yajia Lan (0000-0002-9818-3057, Sichuan University) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 747-747 |
| Publication date | 2021-04-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-10730-y |
| PMID | 33865357 |
| OpenAlex | W3156353261 |
| Language | EN |
| Citations received | 5 |
| References cited | 40 |
The risk model and nomogram for HFHL can be used in application-oriented research on the prevention and management of HFHL in workplaces with high levels of noise exposure
Audiology · Biostatistics · Cohort · Cohort study · Environmental health · Hearing loss · Logistic regression · Nomogram · Receiver operating characteristic · Risk assessment · Demography · Hearing Loss and Rehabilitation · Hearing, Cochlea, Tinnitus, Genetics · Medicine · Noise Effects and Management · Epidemiology · Internal Medicine
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Development and empirical validation of a multi-criteria decision-making model for the assessment of noise-induced hearing loss (Nihl) in high-exposure industrial settings
A machine learning screening model for identifying the risk of high-frequency hearing impairment in a general population
| Citations per year | 2.5 |
|---|---|
| Citation span | 2024 - 2026 (3) |
| Highly cited | No |