1 citations · 1 across the 2 of their papers we have counts for
3 papers
MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes
Nathaniel Jeffries, Miriam Wolff, Sam Royston +5
Glucose forecasting algorithms are an important aspect of glycemic control management in type 1 diabetes. So far, the research community has developed numerous algorithms and model…
MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management
Miriam K. Wolff, Peter Calhoun, Eleonora Maria Aiello +2
Progress in Type 1 Diabetes (T1D) algorithm development is limited by the fragmentation and lack of standardization across existing T1D management datasets. Current datasets differ…
GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction
Miriam K. Wolff, Sam Royston, Anders Lyngvi Fougner +3
Blood glucose prediction is an important component of biomedical technology for managing diabetes with automated insulin delivery systems. Machine learning and deep learning algori…