Kushan De Silva - researchr alias

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Viewing Publication 1 - 4 from 4

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 modelYitayeh Belsti, Lisa Moran, Lan Du 0002, Aya Mousa, Kushan De Silva, Joanne Enticott, Helena Teede. ijmi, 179:105228, November 2023. [doi]

2021

Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big dataKushan De Silva, Noel Mathews, Helena Teede, Andrew Forbes, Daniel Jönsson, Ryan T. Demmer, Joanne Enticott. cbm, 132:104305, 2021. [doi]

2020

A combined strategy of feature selection and machine learning to identify predictors of prediabetesKushan De Silva, Daniel Jönsson, Ryan T. Demmer. jamia, 27(3):396-406, 2020. [doi]

Use and performance of machine learning models for type 2 diabetes prediction in community settings: A systematic review and meta-analysisKushan De Silva, Wai Kit Lee, Andrew Forbes, Ryan T. Demmer, Christopher Barton, Joanne Enticott. ijmi, 143:104268, 2020. [doi]

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