Research Article
Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks
Table 27
Loss value of the anesthesia emergence duration prediction system with data enrichment and longer training time.
| Layers | Neurons | Multiple | Epochs | Testing dataset | Training dataset | Validation dataset | Mean | Std | Max | Min | Mean | Std | Max | Min | Mean | Std | Max | Min |
| 4 | 256 | 3 | 200 | 0.6520 | 0.0037 | 0.6566 | 0.6450 | 0.6395 | 0.0033 | 0.6438 | 0.6337 | 0.6518 | 0.0038 | 0.6589 | 0.6459 | 10 | 200 | 0.6242 | 0.0036 | 0.6335 | 0.6212 | 0.6217 | 0.0033 | 0.6301 | 0.6192 | 0.6242 | 0.0034 | 0.6328 | 0.6216 | 10 | 1000 | 0.6095 | 0.0007 | 0.6106 | 0.6084 | 0.6087 | 0.0005 | 0.6097 | 0.6079 | 0.6094 | 0.0008 | 0.6106 | 0.6084 |
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