Machine learning and healthy pregnancy

Most prediction models to date in Obstetrics have been developed to predict and identify women at increased risk pregnancy complications. In collaboration with a Mathematician with extensive experience in prediction models, we aim to use large datasets from different countries to develop a well-performing prediction model for the absence of major obstetric complications (“healthy pregnancies”) – not complicated by preterm birth, pre-eclampsia, small-for-gestational age neonates, or stillbirth. This will be highly valuable to de-escalate care in low-risk pregnancies through low-risk midwifery-led pathways.