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Pregnancy Trimester, Second

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Prediction model development of late-onset preeclampsia using machine learning-based methods.

PloS one Jan 1, 2019
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning...
Bayes Theorem Pre-Eclampsia Logistic Models Support Vector Machine Gestational Age Pregnancy Trimester, Third Age of Onset Pregnancy Trimester, Second Machine Learning Pregnancy Female Adult Humans
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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BMC pregnancy and childbirth Aug 15, 2018
BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcome, existing prediction models have not adequately assessed population-based risks, and have been based on conventional regression methods. The objecti...
Smoking Pregnancy Trimester, Second Body Mass Index Infant, Small for Gestational Age Fetal Macrosomia Statistics as Topic Fetal Development Young Adult Adult Cohort Studies Logistic Models Female Infant, Newborn Pregnancy Nova Scotia Gestational Weight Gain Humans Machine Learning Neural Networks, Computer Retrospective Studies
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Clinical Assessment of Soluble FMS-Like Tyrosine Kinase-1/Placental Growth Factor Ratio for the Diagnostic and the Prognosis of Preeclampsia in the Second Trimester.

Clinical laboratory Oct 1, 2016
BACKGROUND: Preeclampsia is one of the most common and serious complications of pregnancy. Various reports have demonstrated that disturbances in angiogenic and antiangiogenic factors are implicated in its pathogenesis and have possible relevance in ...
Pre-Eclampsia Pregnancy Trimester, Second Adolescent Vascular Endothelial Growth Factor Receptor-1 Female Prognosis Young Adult Humans Placenta Growth Factor Pregnancy Adult Case-Control Studies
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Diagnostic value of CA 19-9 in pregnancies complicated by spinal neural tube defects: a preliminary study.

Ginekologia polska Jan 1, 2016
OBJECTIVES: Various physiological and pathological conditions can induce significant variations in plasma concentrations of tumor markers, such as CA 19-9, which is present in the serum and amniotic fluid of pregnant women. Herein, we aimed to determ...
Cross-Sectional Studies Case-Control Studies Humans Amniotic Fluid Biomarkers CA-19-9 Antigen Female Prenatal Diagnosis Reference Values Pregnancy Trimester, Second Pregnancy Adult Neural Tube Defects
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