Table 4 AUC-ROC of COVID-19 mortality prediction results by using T-LSTM on different sets at different timestamps
From: Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
| Â | Trainingb | Validationb | Testb |
|---|---|---|---|
0 days earlya | 0.996 ± 0.01 | 0.997 ± 0.01 | 0.997 ± 0.00 |
3 days early | 0.989 ± 0.00 | 0.987 ± 0.01 | 0.969 ± 0.01 |
6 days early | 0.960 ±0.01 | 0.957 ±0.0 2 | 0.947 ±0.03 |
9 days early | 0.944 ±0.00 | 0.935 ± 0.01 | 0.921 ±0.03 |
12 days early | 0.926 ± 0.01 | 0.924 ±0.0 2 | 0.914 ±0.02 |
15 days early | 0.891 ± 0.01 | 0.883 ± 0.01 | 0.863 ±0.01 |
18 days early | 0.852 ± 0.01 | 0.834 ±0.0 2 | 0.819 ±0.0 2 |