Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning
- DOI
- 10.1186/s41935-025-00491-9
- Published
- 2025-10-16
- Container
- Egyptian Journal of Forensic Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s41935-025-00491-9,
title = {Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning},
author = {Asmaa El-Banna and Hisham Ragab and Reem Rohiem and Ahmed Mohamed Saleh and Marwa kholief},
year = {2025},
journal = {Egyptian Journal of Forensic Sciences},
doi = {10.1186/s41935-025-00491-9},
url = {https://doi.org/10.1186/s41935-025-00491-9}
}RIS
TY - JOUR TI - Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning AU - Asmaa El-Banna AU - Hisham Ragab AU - Reem Rohiem AU - Ahmed Mohamed Saleh AU - Marwa kholief PY - 2025 JO - Egyptian Journal of Forensic Sciences DO - 10.1186/s41935-025-00491-9 UR - https://doi.org/10.1186/s41935-025-00491-9 ER -
APA
El-Banna, A., Ragab, H., Rohiem, R., Saleh, A. M., & kholief, M. (2025). Implementation of machine learning models bridges the prognostic gap in Aluminum Phosphide poisoning. Egyptian Journal of Forensic Sciences. https://doi.org/10.1186/s41935-025-00491-9
Source records
- crossref · retrieved 2026-09-26T05:47:26.778Z