Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysis. - Kushan De Silva; Wai Kit Lee; Andrew Forbes; Ryan T. Demmer; Christopher Barton; Joanne Enticott (Int. J. Medical Informatics, 2020)

A combined strategy of feature selection and machine learning to identify predictors of prediabetes. - Kushan De Silva; Daniel Jönsson; Ryan T. Demmer (J. Am. Medical Informatics Assoc., 2020)

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)

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)