A New XGBoost Algorithm Based Prediction Model for Fetal Growth Restriction in Patients with Preeclampsia
Background: To construct a predictive model for fetal growth restriction (FGR) in preeclampsia (PE) patients using extreme Gradient Boosting (XGBoost) algorithm. Methods: A prospective study was conducted in the Obstetrics Department of Wuming Hospital from October 1, 2016, to October 1, 2021. A tot...
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Format: | Book |
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IMR Press,
2023-08-01T00:00:00Z.
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A1234.567 |
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