A cost-effective machine learning-based method for preeclampsia risk assessment and driver genes discovery

Abstract excerpt

BACKGROUND: The placenta, as a unique exchange organ between mother and fetus, is essential for successful human pregnancy and fetal health. Preeclampsia (PE) caused by placental dysfunction contributes to both maternal and infant morbidity and mortality. Accurate identification of PE patients plays a vital role in the formulation of treatment plans. However, the traditional clinical methods of PE have a high...

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• Share to Pregnancy and preeclampsia studies
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