Prediction of pre-eclampsia with machine learning approaches: Leveraging important information from routinely collected data. - Sofonyas Abebaw Tiruneh; Daniel Lorber Rolnik; Helena J. Teede; Joanne Enticott (Int. J. Medical Informatics, 2024)

Temporal validation of machine learning models for pre-eclampsia prediction using routinely collected maternal characteristics: A validation study. - Sofonyas Abebaw Tiruneh; Daniel Lorber Rolnik; Helena Teede; Joanne Enticott (Comput. Biol. Medicine, 2025)