Machine learning for occupational accident analysis: Applications, challenges, and future directions
Machine learning (ML) drives progress in occupational accident prevention across diverse sectors. However, significant challenges persist in aligning these tools with practical safety needs, including accurate risk assessment, incident prediction, and targeted prevention strategies. While prior revi...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
KeAi Communications Co., Ltd.
2026-03-01
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| Series: | Journal of Safety Science and Resilience |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S2666449625000842 |
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