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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...

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Autori principali: Izuchukwu Chukwuma Obasi, Pericles Cheng, Cleo Varianou-Mikellidou, Christos Dimopoulos, Georgios Boustras
Natura: Artigo
Lingua:Inglês
Pubblicazione: KeAi Communications Co., Ltd. 2026-03-01
Serie:Journal of Safety Science and Resilience
Soggetti:
Occupational accidents
Machine learning
Accident analysis
PRISMA
Accident prevention
Accident prediction
Accesso online:http://www.sciencedirect.com/science/article/pii/S2666449625000842
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