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. 2019 Dec 1;4(1):1–18. doi: 10.1007/s41666-019-00059-y

Table 3.

Results individually per patient and averages in predicting glucose levels with a 30- and 60-min prediction horizon respectively

30-min horizon 60-min horizon
Patient ID LSTM t0 LSTM t0
559 0.178 ± 0.003 0.224 0.331 ± 0.003 0.386
570 0.105 ± 0.002 0.141 0.195 ± 0.004 0.244
588 0.177 ± 0.002 0.214 0.291 ± 0.002 0.349
563 0.176 ± 0.002 0.222 0.293 ± 0.002 0.360
575 0.224 ± 0.004 0.272 0.389 ± 0.005 0.434
591 0.256 ± 0.003 0.299 0.396 ± 0.003 0.478
μ 0.186 0.229 0.316 0.375
σ ± 0.047 ± 0.050 ± 0.068 ± 0.073

The table shows the surveillance error (SE) of the LSTM model trained with NLL. t0 refers to the naive baseline of predicting the last value