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Vaginal Birth after Cesarean

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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology 32007491
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Adult Apgar Score Area Under Curve Cesarean Section Delivery, Obstetric Extraction, Obstetrical Feasibility Studies Female Fetal Weight Gestational Age Head Humans Infant, Newborn Machine Learning Organ Size Parity Pregnancy Retrospective Studies Risk Assessment Risk Factors ROC Curve Tertiary Care Centers Trial of Labor Uterine Rupture Vaginal Birth after Cesarean
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Predicting vaginal birth after previous cesarean: Using machine-learning models and a population-based cohort in Sweden.

Acta obstetricia et gynecologica Scandinavica 33031579
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...
Adult Female Humans Machine Learning Predictive Value of Tests Pregnancy Prospective Studies Sensitivity and Specificity Sweden Vaginal Birth after Cesarean
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