Prediction of vaginal birth after cesarean deliveries using machine learning

M Lipschuetz, J Guedalia, A Rottenstreich… - American journal of …, 2020 - Elsevier
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 deliveries. Complication
rates are lowest when a vaginal birth is achieved and highest when an unplanned cesarean
delivery is performed, which emphasizes the need to assess, in advance, the likelihood of a
successful vaginal birth after cesarean delivery. Vaginal birth after cesarean delivery …
以上显示的是最相近的搜索结果。 查看全部搜索结果