Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and...
Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011
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Publisher
United States: Copyright by the American College of Occupational and Environmental Medicine
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Language
English
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Publisher
United States: Copyright by the American College of Occupational and Environmental Medicine
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Contents
OBJECTIVE:This study leveraged a state workers’ compensation claims database and machine learning techniques to target prevention efforts by injury causation and industry.
METHODS:Injury 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 rank...
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Full title
Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention Priorities: Ohio, 2001 to 2011
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5868484
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5868484
Other Identifiers
ISSN
1076-2752
E-ISSN
1536-5948
DOI
10.1097/JOM.0000000000001162
