E. Comert

Machine learning-based multiclass classification of preeclampsia risk using routine clinical data: An XGBoost approach

Preeclampsia is a major cause of maternal and perinatal morbidity and mortality worldwide, and early identification of high-risk pregnancies remains a clinical challenge, particularly in settings where advanced biomarkers and imaging techniques are not readily available. This study aimed to develop and evaluate a machi...