Background: Predictions in pregnancy care are complex because of interactions among
multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor …

Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Preeclampsia, a multisystem disorder in pregnancy, is still one of the main causes of
maternal morbidity and mortality. Due to a lack of a causative therapy, an accurate prediction …

Introduction Guidelines advise ongoing follow-up of patients after hypertensive disorders of
pregnancy (HDP) to assess cardiovascular risk and manage future patient-specific …

In finance and management, insurance is a product that tends to reduce or eliminate in
totality or partially the loss caused due to different risks. Various factors affect house …

Preeclampsia is one of the illnesses associated with placental dysfunction and pregnancy-
induced hypertension, which appears after the first 20 weeks of pregnancy and is marked by …

Throughout the history of medicine, preeclampsia has remained an enigmatic field of
obstetrics. In 2023, despite its prevalence and impact, preeclampsia's exact cause and …

Cardiovascular disease, especially coronary heart disease and cerebrovascular disease, is
a leading cause of mortality and morbidity in women globally. The development of …

Background Accurate individualized assessment of preeclampsia risk enables the
identification of patients most likely to benefit from initiation of low-dose aspirin at 12 to 16 …

Background Predicting severe preeclampsia with need for intensive care is challenging. To
better predict high-risk pregnancies to prevent adverse outcomes such as eclampsia is still …