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A hybrid natural language processing-ontology and machine learning framework for linguistic and knowledge-driven accident analysis in petrochemical occupational safety informatics

Crossref DOI link: https://doi.org/10.1038/s41598-026-66334-2

Published Online: 2026-08-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Esmaeili, Sayed Vahid https://orcid.org/0000-0003-1243-6242
Soleimani-Alyar, Maryam https://orcid.org/0000-0003-2269-3971
Ahmadi, Omran https://orcid.org/0000-0003-3151-9991
Kheradpisheh, Saeed Reza https://orcid.org/0000-0001-6168-4379
Pouyakian, Mostafa https://orcid.org/0000-0002-4766-0503
Funding

Funding for this research was provided by:

National Science Foundation of Iran (4047952)

Shahid Beheshti University of Medical Sciences (43014630)
License Information

Text and Data Mining valid from 2026-08-12

Accepted Manuscript valid from 2026-08-12
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Article History

Received: 30 May 2026

Accepted: 6 August 2026

First Online: 12 August 2026

Declarations

Competing interests: The authors declare no competing interests.

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