Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions.
- DOI
- 10.1080/17457300.2026.2720848
- Published
- 2026 Aug 26
- Container
- International journal of injury control and safety promotion
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1080/17457300.2026.2720848,
title = {Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions.},
author = {Abdullah M and Shokry S and Alqahtani T and Al-Ahmadi H},
year = {2026},
journal = {International journal of injury control and safety promotion},
doi = {10.1080/17457300.2026.2720848},
url = {https://doi.org/10.1080/17457300.2026.2720848}
}RIS
TY - JOUR TI - Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions. AU - Abdullah M AU - Shokry S AU - Alqahtani T AU - Al-Ahmadi H PY - 2026 JO - International journal of injury control and safety promotion DO - 10.1080/17457300.2026.2720848 UR - https://doi.org/10.1080/17457300.2026.2720848 ER -
APA
M, A., S, S., T, A., & H, A. (2026). Shedding light on crash injury severity: a Bayesian-optimized machine learning investigation of visibility conditions.. International journal of injury control and safety promotion. https://doi.org/10.1080/17457300.2026.2720848
Source records
- pubmed · retrieved 2026-09-25T22:30:12.772Z
- europe-pmc · retrieved 2026-09-25T22:30:12.790Z