Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran
- DOI
- 10.1016/j.scitotenv.2025.181225
- Published
- 2026-01
- Container
- Science of The Total Environment
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.scitotenv.2025.181225,
title = {Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran},
author = {Reza Dahmardeh Behrooz and Munna Kumar and Yogesh Kumar Vishwakarma and R.S. Singh and Mohsen Farahi},
year = {2026},
journal = {Science of The Total Environment},
doi = {10.1016/j.scitotenv.2025.181225},
url = {https://doi.org/10.1016/j.scitotenv.2025.181225}
}RIS
TY - JOUR TI - Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran AU - Reza Dahmardeh Behrooz AU - Munna Kumar AU - Yogesh Kumar Vishwakarma AU - R.S. Singh AU - Mohsen Farahi PY - 2026 JO - Science of The Total Environment DO - 10.1016/j.scitotenv.2025.181225 UR - https://doi.org/10.1016/j.scitotenv.2025.181225 ER -
APA
Behrooz, R. D., Kumar, M., Vishwakarma, Y. K., Singh, R., & Farahi, M. (2026). Application of machine learning for identification of key exposure predictors for heavy metal accumulation in hair of traffic police officers in Tehran. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2025.181225
Source records
- crossref · retrieved 2026-09-25T13:50:43.296Z