Article

Machine Learning for Dynamic and Short-term Prediction of Preeclampsia Using Routine Clinical and Laboratory Data

2025-09-30

Abstract excerpt

Preeclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality, yet its unpredictable onset and rapid progression hinder timely management. Existing prediction tools often rely on specialized biomarkers, static assessments, or limited study cohorts, impeding clinical utility and generalizability. We conducted a retrospective, multi-site cohort study including 58,839 pregnancies delivered at...

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Literature Corpus work: d149da68-2b8c-5e39-a462-f6ba81ad2136
DOI: 10.1101/2025.09.29.25336926

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