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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| 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
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-025-24130-z |
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