Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research.
- DOI
- 10.1016/j.heliyon.2024.e28547
- Published
- 2024 Apr 15
- Container
- Heliyon
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.heliyon.2024.e28547,
title = {Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research.},
author = {Sufian MA and Varadarajan J and Niu M},
year = {2024},
journal = {Heliyon},
doi = {10.1016/j.heliyon.2024.e28547},
url = {https://doi.org/10.1016/j.heliyon.2024.e28547}
}RIS
TY - JOUR TI - Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research. AU - Sufian MA AU - Varadarajan J AU - Niu M PY - 2024 JO - Heliyon DO - 10.1016/j.heliyon.2024.e28547 UR - https://doi.org/10.1016/j.heliyon.2024.e28547 ER -
APA
MA, S., J, V., & M, N. (2024). Enhancing prediction and analysis of UK road traffic accident severity using AI: Integration of machine learning, econometric techniques, and time series forecasting in public health research.. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e28547
Source records
- pubmed · retrieved 2026-09-25T14:44:50.944Z