Prediction model of preeclampsia using machine learning based methods: a population based cohort study in China
Taishun Li,
Mingyang Xu,
Yuan Wang
et al.
Abstract:IntroductionPreeclampsia is a disease with an unknown pathogenesis and is one of the leading causes of maternal and perinatal morbidity. At present, early identification of high-risk groups for preeclampsia and timely intervention with aspirin is an effective preventive method against preeclampsia. This study aims to develop a robust and effective preeclampsia prediction model with good performance by machine learning algorithms based on maternal characteristics, biophysical and biochemical markers at 11–13 + … Show more
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