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Multiple logistic model with different outcomes Preeclampsia (PE), early onset PE, Late onset PE.

Figshare2024-12-23 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Multiple_logistic_model_with_different_outcomes_Preeclampsia_PE_early_onset_PE_Late_onset_PE_/28083806 数据链接链接失效反馈

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资源简介：

Multiple logistic model with different outcomes Preeclampsia (PE), early onset PE, Late onset PE.

应用场景：

创建时间：

2024-12-23

子痫前期风险预测

生物标志物分析

Introduction: The objective of this retrospective study was to compare the predictive performance of the soluble fms-like tyrosine kinase 1 (sFlt-1) / placental growth factor (PlGF)-ratio alone or in

NIAID Data Ecosystem50

Discriminatory accuracy of the multiple model at different cut-off of the predicted preeclampsia probability in multiparous and in primiparous women.

子痫前期风险预测

产科模型验证

Discriminatory accuracy of the multiple model at different cut-off of the predicted preeclampsia probability in multiparous and in primiparous women.

Figshare2017-05-26 更新20

Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx

子痫前期风险预测

核糖体生物发生标志物

BackgroundPreeclampsia, a hypertensive disorder during pregnancy affecting 2-8% of pregnancies globally, remains a leading cause of maternal and fetal morbidity. Current diagnostic reliance on late-on

NIAID Data Ecosystem00

Additional file 1 of Gene model-related m6A expression levels predict the risk of preeclampsia

子痫前期风险预测

RNA表观遗传修饰分析

Additional file 1: Table S1.The number of genes in each module.

Figshare2024-02-16 更新20

Variables included in the pre-specified model and the corresponding similar variables included in the Fetal Medicine Foundation’s (FMF) model with maternal characteristics and mean arterial pressure for nulliparous women.

子痫前期风险预测

妊娠期高血压

NIAID Data Ecosystem10