Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma
- DOI
- 10.1038/s41598-026-49472-5
- Published
- 2026-05-20
- 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/s41598-026-49472-5,
title = {Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma},
author = {Gemma Postill and Anglin Dent and Richard Cheng and Anton Nikouline and Teruko Kishibe and Melissa McGowan and Jethro C. C. Kwong and Brodie Nolan},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-49472-5},
url = {https://doi.org/10.1038/s41598-026-49472-5}
}RIS
TY - JOUR TI - Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma AU - Gemma Postill AU - Anglin Dent AU - Richard Cheng AU - Anton Nikouline AU - Teruko Kishibe AU - Melissa McGowan AU - Jethro C. C. Kwong AU - Brodie Nolan PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-49472-5 UR - https://doi.org/10.1038/s41598-026-49472-5 ER -
APA
Postill, G., Dent, A., Cheng, R., Nikouline, A., Kishibe, T., McGowan, M., Kwong, J. C. C., & Nolan, B. (2026). Systematic review and meta-analysis of machine learning models predicting massive hemorrhage protocol in trauma. Scientific Reports. https://doi.org/10.1038/s41598-026-49472-5
Source records
- crossref · retrieved 2026-09-25T12:41:08.976Z