First-Trimester Uterine Artery Doppler for Early Risk Prediction of Adverse Maternal and Perinatal Outcomes

Abstract

Because of the frequent occurrence of placental dysfunction in early pregnancy and the lack of recognition until complications occur, adverse maternal and perinatal outcomes continue to be significant challenges in obstetric care. Early detection of high-risk pregnancy is thus gaining importance for better maternal and neonatal health. The proposed study is to present an ACFO, HDRI and XGBoost classifier with the FMF First-Trimester Screening Dataset. Combination of maternal clinical parameters, uterine artery Doppler indices and biochemical markers are being used for predicting adverse outcomes. The results of the experiments are showing an accuracy of 95% for prediction, which shows better identification of HYDR, FGR, preterm birth, and neonatal complications. The proposed framework is helping to enable early decision making in clinical care and personalised antenatal care.