Reproductive and Urinary Physiology Commons^™

Predicting Vaginal Birth After Previous Cesareavn: Using Machine-Learning Models And A Population-Based Cohort In Sweden, Charlotte Wollmann, Kyle D. Hart, Can Liu, Aaron B. Caughey, Olof Stephansson, Jonathan M. Snowden

OHSU-PSU School of Public Health Faculty Publications and Presentations

Introduction: Predicting a woman’s probability of vaginal birth after cesarean could facilitate the antenatal decision-making process. Having a previous vaginal birth strongly predicts vaginal birth after cesarean. Delivery outcome in women with only a cesarean delivery is more unpredictable. Therefore, to better predict vaginal birth in women with only one prior cesarean delivery and no vaginal deliveries would greatly benefit clinical practice and fill a key evidence gap in research. Our aim was to predict vaginal birth in women with one prior cesarean and no vaginal deliveries using machine-learning methods, and compare with a US prediction model and its further …