Counterfactual Outcome Prediction on MIMIC-III semi-synthetic (N=2000) (test)
0.27RMSEIGC-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| IGC-NetPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.27 | |
| CTPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.31 | |
| IGC-NetPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.32 | |
| IGC-NetPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.38 | |
| CRNPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.39 | |
| CTPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.41 | |
| IGC-NetPrediction window (τ)=5, Training samples (N)=20002024.05 | 0.42 | |
| IGC-NetPrediction window (τ)=6, Training samples (N)=20002024.05 | 0.45 | |
| CTPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.49 | |
| CRNPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.5 | |
| G-transformerPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.53 | |
| CTPrediction window (τ)=5, Training samples (N)=20002024.05 | 0.55 | |
| G-NetPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.55 | |
| CRNPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.58 | |
| CTPrediction window (τ)=6, Training samples (N)=20002024.05 | 0.6 | |
| RMSNsPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.62 | |
| CRNPrediction window (τ)=5, Training samples (N)=20002024.05 | 0.64 | |
| G-transformerPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.67 | |
| CRNPrediction window (τ)=6, Training samples (N)=20002024.05 | 0.7 | |
| RMSNsPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.73 | |
| G-NetPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.73 | |
| TE-CDEPrediction window (τ)=2, Training samples (N)=20002024.05 | 0.76 | |
| G-transformerPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.78 | |
| RMSNsPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.85 | |
| G-transformerPrediction window (τ)=5, Training samples (N)=20002024.05 | 0.86 | |
| TE-CDEPrediction window (τ)=3, Training samples (N)=20002024.05 | 0.87 | |
| G-NetPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.87 | |
| G-transformerPrediction window (τ)=6, Training samples (N)=20002024.05 | 0.94 | |
| RMSNsPrediction window (τ)=5, Training samples (N)=20002024.05 | 0.96 | |
| TE-CDEPrediction window (τ)=4, Training samples (N)=20002024.05 | 0.98 | |
| G-NetPrediction window (τ)=5, Training samples (N)=20002024.05 | 1 | |
| RMSNsPrediction window (τ)=6, Training samples (N)=20002024.05 | 1.05 | |
| TE-CDEPrediction window (τ)=5, Training samples (N)=20002024.05 | 1.06 | |
| G-NetPrediction window (τ)=6, Training samples (N)=20002024.05 | 1.12 | |
| TE-CDEPrediction window (τ)=6, Training samples (N)=20002024.05 | 1.14 |