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Worker Safety Roundup: Machine Learning, Who’s at Risk and More

This Fourth of July, we focus on safety at the plant, from hearing loss due to certain chemicals to the machine safety risks from mergers and acquisitions. How is machine learning being used to make jobs safer?

This Fourth of July, we focus on safety at the plant, from hearing loss due to certain chemicals to the machine safety risks from mergers and acquisitions. How is machine learning being used to make jobs safer?
This Fourth of July, we focus on safety at the plant, from hearing loss due to certain chemicals to the machine safety risks from mergers and acquisitions. How is machine learning being used to make jobs safer?

 

Using machine learning to analyze personnel risk

Many painful worker safety hazards that result in lost time are preventable.

A new study published in the Journal of Occupational and Environmental Medicine used machine learning to analyze worker’s compensation data to identify high risk areas to focus on.

The study found that the workers in skilled nursing facilities are at the highest risk for severe (more than 7 missed workdays) ergonomic-related claims, while workers in the general freight trucking industry are at the highest risk for severe slip, trip, or fall claims.

In a National Institute for Occupational Safety and Health (NIOSH) interview, the study’s lead author Alysha Meyers, Ph.D., explained, “Already, our findings are helping occupational safety and health specialists to focus their injury prevention efforts on high-risk occupations and industries. This activity is especially apparent in Ohio, where our study took place, but researchers in other states could use our study to develop similar approaches.”

 

Young workers at risk

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List: Digitalization Companies From PACK EXPO
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List: Digitalization Companies From PACK EXPO