Can maternal characteristics improve due date prediction without ultrasound? Development and internal validation of a machine-learning prediction model in 600 000 pregnancies in Sweden

Abstract: To assess whether estimated due dates based on Naegele’s rule can be improved by incorporating routinely collected maternal characteristics into a non-parametric machine learning model, particularly in settings where ultrasound is unavailable.

Design

Population-based retrospective cohort study; development and internal validation of a machine-learning prediction model.