Predictive models and significant predictors for vaginal birth after caesarean section: A scoping review
- DOI
- 10.1016/j.artmed.2026.103559
- Published
- 2027-01
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103559,
title = {Predictive models and significant predictors for vaginal birth after caesarean section: A scoping review},
author = {Julian Harrison and Kit Yan Chan and Amanuel Gebremedhin and Duc-Son Pham and Gavin Pereira},
year = {2027},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103559},
url = {https://doi.org/10.1016/j.artmed.2026.103559}
}RIS
TY - JOUR TI - Predictive models and significant predictors for vaginal birth after caesarean section: A scoping review AU - Julian Harrison AU - Kit Yan Chan AU - Amanuel Gebremedhin AU - Duc-Son Pham AU - Gavin Pereira PY - 2027 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103559 UR - https://doi.org/10.1016/j.artmed.2026.103559 ER -
APA
Harrison, J., Chan, K. Y., Gebremedhin, A., Pham, D., & Pereira, G. (2027). Predictive models and significant predictors for vaginal birth after caesarean section: A scoping review. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103559
Source records
- crossref · retrieved 2026-11-09T16:01:24.708Z