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Author

Temiloluwa Prioleau

2 papers indexed here

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Review Open access Sep 2026

Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance

Key reproducibility challenges associated with current blood glucose prediction methods within type 1 diabetes populations are identified, highlighting the need for increased transparency, dataset diversity, standardized evaluation practices, and code accessibility to ensure reproducible and reliable models for blood g...

Bai-Ying Lu, B. Wagle, Zhao-Hui Liang et al. · 0 citations

Glucose-ML: A collection of longitudinal diabetes datasets for development of robust AI solutions

It is shown that the same algorithm can have significantly different prediction results when developed/evaluated with different datasets, and recommended recommendations for developing robust AI solutions within the diabetes or broader health domain are then used.

Temiloluwa Prioleau, Baiying Lu, Yan-Jun Cui · 1 citation

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