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...