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. 2025 Feb 25;11(4):e42841.

doi: 10.1016/j.heliyon.2025.e42841. eCollection 2025 Feb 28.

Retraction notice to "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 10 (2024) e28547]

Md Abu Sufian^{1

2}, Jayasree Varadarajan³, Mingbo Niu¹

Affiliations

Affiliations

¹ IVR Low-Carbon Research Institute, Chang'an University, Shaanxi, 710018, China.
² School of Computing and Mathematical Sciences, University of Leicester, UK.
³ School of Geography, University of Leicester, UK.

PMID: 40201276
PMCID: PMC11949177
DOI: 10.1016/j.heliyon.2025.e42841

Retraction notice to "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 10 (2024) e28547]

Md Abu Sufian et al. Heliyon. 2025.

. 2025 Feb 25;11(4):e42841.

doi: 10.1016/j.heliyon.2025.e42841. eCollection 2025 Feb 28.

Authors

Md Abu Sufian^{1

2}, Jayasree Varadarajan³, Mingbo Niu¹

Affiliations

¹ IVR Low-Carbon Research Institute, Chang'an University, Shaanxi, 710018, China.
² School of Computing and Mathematical Sciences, University of Leicester, UK.
³ School of Geography, University of Leicester, UK.

PMID: 40201276
PMCID: PMC11949177
DOI: 10.1016/j.heliyon.2025.e42841

Abstract

[This retracts the article DOI: 10.1016/j.heliyon.2024.e28547.].

© 2025 The Author(s).

PubMed Disclaimer

Retraction of

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.
Sufian MA, Varadarajan J, Niu M. Sufian MA, et al. Heliyon. 2024 Apr 2;10(7):e28547. doi: 10.1016/j.heliyon.2024.e28547. eCollection 2024 Apr 15. Heliyon. 2024. Retraction in: Heliyon. 2025 Feb 25;11(4):e42841. doi: 10.1016/j.heliyon.2025.e42841. PMID: 38623197 Free PMC article. Retracted.

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