Sex differences in work-related accidents extracted from free text in Spanish using natural language processing

Sex differences in work-related accidents extracted from free text in Spanish using natural language processing

Abstract Background Evidence from the global north shows that women and men significantly differ in work accidents and occupational disease rates. However, more data is needed for countries elsewhere. Methods Using natural language processing (NLP), we extracted accident mechanisms from 350,000 admi...

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Bibliographic Details
Main Authors: Jocelyn Dunstan, Valentina Campaña-Herrera, Luis Miranda, Rocío Ladrón de Guevara, Pablo Pincheira, Victor Rocco, Daniela Moyano-Dávila
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Public Health
Subjects:
Occupational accidents
Mechanisms
Natural language processing
Sex-differences
Online Access:https://doi.org/10.1186/s12889-025-24130-z
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https://doi.org/10.1186/s12889-025-24130-z

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