Research Article
Blood Glucose Level Prediction of Diabetic Type 1 Patients Using Nonlinear Autoregressive Neural Networks
Table 3
Comparison of feedforward and nonlinear autoregressive models.
| | Dataset | Source | Feedforward NN (RMSE) ml/dl | NAR NN with optimal inputs (RMSE ml/dl) | | Y(T) = 15 min | Y(t+1) = 30 min |
| | Patient 1 | AIDA | 15 min = 0.9984 | 0.6060 | | 30 min = 3.78 | | 1.127 |
| | Patient 2 | AIDA | 15 min = 1.43 | 0.7911 | | 30 min = 3.51 | | 1.6756 |
| | Abalone | UCI | Y (t) = 3.36 | 2.417713 | | 2.56211 |
| | Servo | UCI | Y (t) = 1.81 | 0.781796 | | 1.493887 |
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