The new era of risk assessment for hypertension in pregnancy: From clinical to biochemical markers in a comprehensive predictive model.

Objective: This study aims to develop and validate a model based on the weighted random forest (WRF) algorithm to predict early-onset preeclampsia (PE) and to assess the importance of various clinical and biochemical markers in early risk identification.

Materials And Methods: This study was conducted at the Jiangxi Maternal and Child Health Hospital and involved 12,699 pregnant women from January 2019 to June 2022. Extensive clinical and biochemical markers were collected through prenatal care data, which were used to construct a predictive model for early-onset PE.