The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP

Multi-step ahead predictive model for blood glucose concentrations

PDF] Conformance verification for neural network models of glucose-insulin dynamics

Explainable diabetes classification using hybrid Bayesian

Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM

Diabetes: Models, Signals, and Control. - Abstract - Europe PMC

Diabetes: Models, Signals, and Control. - Abstract - Europe PMC

Diabetes: Models, Signals, and Control. - Abstract - Europe PMC

PDF] Benchmark Machine Learning Approaches with Classical Time

Interpretable Machine Learning for Early Prediction of Prognosis

PDF] Conformance verification for neural network models of glucose-insulin dynamics

The architecture of the prediction model (RF = random forest, XGB

Virtual blood glucose monitoring and prediction using machine learning

Frontiers Development and economic assessment of machine

Frontiers Predictive model and risk analysis for peripheral

PDF] Benchmark Machine Learning Approaches with Classical Time