Clinical Outcomes of Placenta Previa - an Individualized Scoring System

The objective of the study is to develop a machine learning -based prediction model for patients with placenta previa . The model will be based on patient characteristics, clinical assessment, and disease features to predict disease course, prognosis and establish an individualized plan of care. Individualized management plan comprises timing of delivery, mode of delivery, need for hospital admission, postpartum hemorrhage management plan, and perioperative care.

The primary outcome is to predict maternal complications, primarily major antepartum hemorrhage (APH), defined as blood loss of 50-1000 ml.