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Prediction of severe adverse neonatal outcomes at the second stage of labour using machine learning: a retrospective cohort study.

BJOG : an international journal of obstetrics and gynaecology 33713380
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal outcomes (SANO) during the second stage of labour.
Adult Delivery, Obstetric Female Gravidity Humans Labor Presentation Labor Stage, First Labor Stage, Second Machine Learning Obstetric Labor Complications Parity Patient Admission Predictive Value of Tests Pregnancy Pregnancy Outcome Retrospective Studies ROC Curve
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