Using the Machine Learning Algorithm XGBoost to Understand the Correlates of Wearing Hearing Protection in Central States' Agricultural Producers
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Description
Examines correlates to the use of hearing protection among agricultural producers in seven states using data from the Farm and Ranch Health and Safety Survey collected in 2018, 2020, and 2023. Uses a machine learning algorithm to identify correlative factors to the use of hearing protection, such as sex, type of agricultural operation, and operator role, among others.
Author(s)
Cheryl L. Beseler, Ellen G. Duysen, Risto H. Rautiainen
Citation
American Journal of Audiology, 35(3), 955-964
Date
09/2026
Tagged as
Agricultural health and safety
· Farmers and farmworkers
· Hearing impairment
· Injuries
· Wellness, health promotion, and disease prevention
· Iowa
· Kansas
· Minnesota
· Missouri
· Nebraska
· North Dakota
· South Dakota
