Probabilistic cancer risk assessment from heavy metal exposure in iranian rice and pasta: a novel hybrid framework integrating INAA, ICP-AES, and ensemble machine learning
- DOI
- 10.1038/s41598-026-53858-w
- Published
- 2026-05-21
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-53858-w,
title = {Probabilistic cancer risk assessment from heavy metal exposure in iranian rice and pasta: a novel hybrid framework integrating INAA, ICP-AES, and ensemble machine learning},
author = {Mahdi Azad Marzabadi and Hassan Khalili and Reza Pourimani and Mahdi Khalili},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-53858-w},
url = {https://doi.org/10.1038/s41598-026-53858-w}
}RIS
TY - JOUR TI - Probabilistic cancer risk assessment from heavy metal exposure in iranian rice and pasta: a novel hybrid framework integrating INAA, ICP-AES, and ensemble machine learning AU - Mahdi Azad Marzabadi AU - Hassan Khalili AU - Reza Pourimani AU - Mahdi Khalili PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-53858-w UR - https://doi.org/10.1038/s41598-026-53858-w ER -
APA
Marzabadi, M. A., Khalili, H., Pourimani, R., & Khalili, M. (2026). Probabilistic cancer risk assessment from heavy metal exposure in iranian rice and pasta: a novel hybrid framework integrating INAA, ICP-AES, and ensemble machine learning. Scientific Reports. https://doi.org/10.1038/s41598-026-53858-w
Source records
- crossref · retrieved 2026-11-07T00:12:20.883Z