Research Article
Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms
Table 3
Mean (standard deviation in parentheses) RMSE for 51 diabetic patients using univariate time-series models.
| | Model | PH = 15 min | PH = 30 min | PH = 60 min |
| | RNN | 11.51 (4.16) | 19.95 (6.61) | 32.28 (9.75) | | LSTM | 11.94 (4.44) | 20.67 (6.66) | 32.98 (10.08) | | Stacked LSTM | 12.31 (5.16) | 20.37 (6.62) | 33.72 (10.51) | | Bidirectional LSTM | 12.06 (4.16) | 20.69 (6.89) | 33.18 (9.76) | | GRU | 11.34 (3.98) | 20.32 (6.41) | 32.64 (9.81) | | Baseline ARIMA | 14.57 (4.89) | 22.71 (7.21) | 35.02 (10.39) | | Proposed model | 11.19 (3.91) | 19.67 (6.31) | 32.26 (9.75) | | -value | | | 0.17 |
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