Stacking Planetario

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Stacking Planetario

The investigators uploaded information to a machine learning model created to analyze data and predict delivery methods based on patterns in the data The data analyzed in this study included information from 9 385 women whose babies were delivered by physicians with C Despite advances in obstetric care, predicting the mode of delivery remains a complex task influenced by numerous maternal, fetal, and pregnancy-related factors. Traditional prediction methods for mode of delivery often rely on clinician expertise and relatively simple decision rules.

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Stacking PlanetarioBackground Vaginal birth after cesarean section（VBAC） is recommended by international and domestic guidelines or expert consensuses.However ,no valid tools can exactly predict who can succeed in trying vaginal birth among eligible women with a history of cesarean section.Machine learning is gradually used to develop models in obstetrics and ... Dec 19 2019 nbsp 0183 32 A cohort of 9888 parturients with 1 previous cesarean delivery was identified of which 75 6 of parturients n 7473 attempted a trial of labor with a success rate of 88 A machine learning based model to predict when vaginal delivery would be successful was developed When features that are available at the first antenatal visit are used the model

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