Data, Models, and Scripts of Integrated Physiological Model of Virtual Diabetic Patient for Machine Learning Research

In this research effort, operation research (OR) is adopted by building a constraint-based physiological model of a diabetic patient with exercise dynamics for producing explanation from ML-based forecasting. The proposed constraint-based diabetic model is implemented in MATLAB/Simulink environment and validated with clinical and free-living datasets.

Then the model is applied for OR on forecasting of a Feed-Forward Neural Network (FFNN) which is built on continuous glucose monitoring (CGM) profile along with carbohydrate and physical activity data of a type-2 diabetic patient. This material set contains all Simulink model files, MATLAB scripts, the experimental datasets used for building and validating physiological and ML models, and result files.