ArticleJournal of occupational and environmental medicine2018
Applying Machine Learning to Workers' Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011.
Article in Journal of occupational and environmental medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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Who cites it
12 citing papers in PubMed.
- Sociodemographic, Industry and Health Factors Associated With Underutilization of Workers' Compensation Insurance.American journal of industrial medicine · 2026Article
- Clinical diagnosis groups developed to bridge the ICD-9-CM to ICD-10-CM coding transition and monitor trends in workers' compensation claims - Ohio, 2011-2018.Journal of safety research · 2025Article
- Respiratory-related workers' compensation claims from private employers - Ohio, 2001-2018.Journal of safety research · 2024Article
- Translating Predictive Analytics for Public Health Practice: A Case Study of Overdose Prevention in Rhode Island.American journal of epidemiology · 2023Article
- Construction industry workers' compensation injury claims due to slips, trips, and falls - Ohio, 2010-2017.Journal of safety research · 2023Article
- Establishment-level occupational safety analytics: Challenges and opportunities.International journal of industrial ergonomics · 2023Article
- Case Studies of Robots and Automation as Health/Safety Interventions in Small Manufacturing Enterprises.Human factors and ergonomics in manufacturing · 2022Article
- Workers' compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007-2017.Journal of safety research · 2021Article
- Occupational injuries in California's health care and social assistance industry, 2009 to 2018.Health science reports · 2021Article
- Workers' Compensation Claim Rates and Costs for Musculoskeletal Disorders Related to Overexertion Among Construction Workers - Ohio, 2007-2017.MMWR. Morbidity and mortality weekly report · 2021Article
- Workers' compensation claims for traumatic brain injuries among private employers-Ohio, 2001-2011.American journal of industrial medicine · 2020Article
- Workers' compensation injury claims among workers in the private ambulance services industry-Ohio, 2001-2011.American journal of industrial medicine · 2018Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
objectiveThis study leveraged a state workers' compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.
methodsInjury causation auto-coding methods were developed to code more than 1.2 million Ohio Bureau of Workers' Compensation claims for this study. Industry groups were ranked for soft-tissue musculoskeletal claims that may have been preventable with biomechanical ergonomic (ERGO) or slip/trip/fall (STF) interventions.
resultsOn the basis of the average of claim count and rate ranks for more than 200 industry groups, Skilled Nursing Facilities (ERGO) and General Freight Trucking (STF) were the highest risk for lost-time claims (>7 days).
conclusionThis study created a third, major causation-specific U.S. occupational injury surveillance system. These findings are being used to focus prevention resources on specific occupational injury types in specific industry groups, especially in Ohio. Other state bureaus or insurers may use similar methods.
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Registered trials
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