A machine-learning–based algorithm improves prediction of preeclampsia-associated adverse outcomes
Background Preeclampsia presents a highly prevalent burden on pregnant women with an estimated incidence of 2% to 5%. Preeclampsia increases the maternal risk of death 20-fold and is one of…