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<p>Glucose-insulin system simulated model in the postprandial state is beneficial in many situations, including diabetes decision support systems and insulin infusion algorithms. This paper presents a new computerized model depending on a physiologically based glucose-insulin system in normal and diabetic two humans. The proposed model is divided into two main compartments, one for glucose-related species and reactions (named&#xa0;Glucose appearance) and the other one for insulin-related species and reactions (named&#xa0;Insulin secretion). The model performs parameter estimation for different subsystems of normal persons and type 2 diabetes models using a forcing function strategy and nonlinear least-squares regression. The proposed model results for a single meal and normal daily life (breakfast, lunch, dinner) in a normal case are evaluated using Root Mean Square Error (RMSE). The same method is also applied for evaluating the type 2 diabetes model. RMSE for the normal human model is 4.315, while for type 2 diabetes is 5.437, respectively.</p>

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An integrated glucose-insulin simulation model for normal meal interaction in Type 2 diabetes

  • 期刊论文

  • 发表日期：

    2025年10月31日

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  • Kadry Ali Ezzat,
  • Lamia Nabil Mahdy

摘要

Glucose-insulin system simulated model in the postprandial state is beneficial in many situations, including diabetes decision support systems and insulin infusion algorithms. This paper presents a new computerized model depending on a physiologically based glucose-insulin system in normal and diabetic two humans. The proposed model is divided into two main compartments, one for glucose-related species and reactions (named Glucose appearance) and the other one for insulin-related species and reactions (named Insulin secretion). The model performs parameter estimation for different subsystems of normal persons and type 2 diabetes models using a forcing function strategy and nonlinear least-squares regression. The proposed model results for a single meal and normal daily life (breakfast, lunch, dinner) in a normal case are evaluated using Root Mean Square Error (RMSE). The same method is also applied for evaluating the type 2 diabetes model. RMSE for the normal human model is 4.315, while for type 2 diabetes is 5.437, respectively.