Machine Learning-Based Prediction of First-Trimester Preeclampsia: A Systematic Literature Review
Background: Machine learning (ML) has emerged as a promising approach for the early prediction of preeclampsia, enabling timely intervention during pregnancy. However, evidence regarding the performance and generalizability of ML models remains fragmented.Objective: This systematic literature review aimed to synthesize...