Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data. - Kushan De Silva; Noel Mathews; Helena Teede; Andrew Forbes; Daniel Jönsson; Ryan T. Demmer; Joanne Enticott (Comput. Biol. Medicine, 2021)

Implementation of Artificial Intelligence Applications in Australian Healthcare Organisations: Environmental Scan Findings. - Anna B. Janssen; Shah Kavisha; Alison Johnson; Anna Marinic; Helena Teede; Tim Shaw (MedInfo, 2023)

Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine learning model. - Yitayeh Belsti; Lisa Moran; Lan Du 002; Aya Mousa; Kushan De Silva; Joanne Enticott; Helena Teede (Int. J. Medical Informatics, 2023)

External validation of risk prediction model for gestational diabetes: Individual participant data meta-analysis of randomized trials. - Sanjeeva Ranasinha; Joanne Enticott; Cheryce L. Harrison; Shakila Thangaratinam; Rui Wang; Helena J. Teede (Int. J. Medical Informatics, 2024)

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)