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Trial of Labor

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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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Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.

American journal of obstetrics and gynecology 32434000
BACKGROUND: The process of childbirth is one of the most crucial events in the future health and development of the offspring. The vulnerability of parturients and fetuses during the delivery process led to the development of intrapartum monitoring m...
Delivery, Obstetric Electronic Health Records Female Humans Machine Learning Models, Theoretical Predictive Value of Tests Pregnancy Prenatal Diagnosis Trial of Labor
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