While preeclampsia is the leading cause of maternal death in Guayas province (Ecuador),
its causes have not yet been studied in depth. The objective of this research is to build a …

Maternal health risks can cause a range of complications for women during pregnancy. High
blood pressure, abnormal glucose levels, depression, anxiety, and other maternal health …

The declining fertility rate and increasing marriage age among girls pose challenges for
policymakers, leading to issues such as population decline, higher social and economic …

Objective Pre‐eclampsia (PE) is a serious complication of pregnancy associated with
maternal and fetal morbidity and mortality. As current prediction models have limitations and …

Background Hypertensive disorders of pregnancy occur in 5–10% of pregnancies and are
associated with an increased risk of adverse perinatal outcomes. Objectives This review …

Preeclampsia, a life-threatening condition in late pregnancy, has unclear causes and risk
factors. Machine learning (ML) offers a promising approach for early prediction. This …

Prediction of women at high risk of preeclampsia is important for prevention and increased
surveillance of the disease. Current prediction models need improvement, particularly with …

Objectives To evaluate the performance of an artificial intelligence (AI) and machine
learning (ML) model for first‐trimester screening for pre‐eclampsia in a large Asian …

Objective Survival analysis is widely utilized in healthcare to predict the timing of disease
onset. Traditional methods of survival analysis are usually based on Cox Proportional …

Explainability is crucial in domains where system decisions have significant implications for
human trust in black-box models. Lack of understanding regarding how these decisions are …