Counterfactual Outcome Prediction on MIMIC-III semi-synthetic (N=1000) (test)
0.3RMSEIGC-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| IGC-NetPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.3 | |
| CTPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.33 | |
| IGC-NetPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.36 | |
| CRNPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.42 | |
| CTPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.44 | |
| IGC-NetPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.44 | |
| IGC-NetPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.47 | |
| CTPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.53 | |
| IGC-NetPrediction window (τ)=6, Training samples (N)=10002024.05 | 0.54 | |
| G-transformerPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.55 | |
| G-NetPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.56 | |
| CTPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.57 | |
| RMSNsPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.57 | |
| CRNPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.58 | |
| CTPrediction window (τ)=6, Training samples (N)=10002024.05 | 0.6 | |
| G-transformerPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.7 | |
| RMSNsPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.73 | |
| G-NetPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.73 | |
| CRNPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.74 | |
| TE-CDEPrediction window (τ)=2, Training samples (N)=10002024.05 | 0.76 | |
| G-transformerPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.81 | |
| CRNPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.84 | |
| G-NetPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.86 | |
| RMSNsPrediction window (τ)=4, Training samples (N)=10002024.05 | 0.87 | |
| G-transformerPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.89 | |
| TE-CDEPrediction window (τ)=3, Training samples (N)=10002024.05 | 0.91 | |
| RMSNsPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.94 | |
| CRNPrediction window (τ)=6, Training samples (N)=10002024.05 | 0.95 | |
| G-NetPrediction window (τ)=5, Training samples (N)=10002024.05 | 0.95 | |
| G-transformerPrediction window (τ)=6, Training samples (N)=10002024.05 | 0.97 | |
| RMSNsPrediction window (τ)=6, Training samples (N)=10002024.05 | 1.02 | |
| G-NetPrediction window (τ)=6, Training samples (N)=10002024.05 | 1.03 | |
| TE-CDEPrediction window (τ)=4, Training samples (N)=10002024.05 | 1.07 | |
| TE-CDEPrediction window (τ)=5, Training samples (N)=10002024.05 | 1.15 | |
| TE-CDEPrediction window (τ)=6, Training samples (N)=10002024.05 | 1.24 |