Table 5.
LSTM and BiLSTM Classifiers performance trained with longitudinal data for current HbA1c levels prediction.
| Model | AUC-ROCa, % (SD) | Balanced Accuracy, % (SD) | Accuracy, % (SD) | F score, % (SD) | Precision, % (SD) | PR-AUCb, % (SD) |
| LSTMc | 83.26% (0.91) | 74.17% (1.05) | 74.59% (1.23) | 75.64% (1.50) | 74.59% (3.26) | 81.88% (0.95) |
| BiLSTMd | 83.16% (0.87) | 74.21% (1.24) | 74.30% (1.15) | 75.46% (1.39) | 75.19% (2.36) | 84.75% (0.75) |
aAUC-ROC: area under the receiver operating characteristic.
bPR-AUC: precision-recall area under the curve.
cLSTM: long short-term memory.
dBiLSTM: bidirectional LSTM.