AIMC Topic: Hypertension, Pregnancy-Induced

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Prediction of hypertension and diabetes in twin pregnancy using machine learning model based on characteristics at first prenatal visit: national registry study.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology May 1, 2025
OBJECTIVE: To develop a prediction model for hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) in twin pregnancy using characteristics obtained at the first prenatal visit.
Humans Machine Learning Pregnancy Female Risk Factors Adult Cross-Sectional Studies Prenatal Care Incidence United States Predictive Value of Tests Registries Diabetes, Gestational Hypertension, Pregnancy-Induced Pregnancy, Twin
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Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.
Humans Algorithms Pregnancy Female Risk Factors Adult Hemodynamics Socioeconomic Factors Support Vector Machine Predictive Value of Tests Blood Pressure Pulse Wave Analysis Body Weight Data Mining Early Diagnosis Gestational Age Radial Artery Hematologic Tests Hypertension, Pregnancy-Induced
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