Counterfactual Outcome Prediction on MIMIC-III semi-synthetic (N=3000) (test)
0.24RMSEIGC-Net
Evaluation Results
| Method | Links | |
|---|---|---|
| IGC-NetPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.24 | |
| IGC-NetPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.31 | |
| CTPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.32 | |
| IGC-NetPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.36 | |
| CRNPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.37 | |
| CTPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.4 | |
| IGC-NetPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.42 | |
| CRNPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.46 | |
| IGC-NetPrediction window (τ)=6, Training samples (N)=30002024.05 | 0.48 | |
| CTPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.49 | |
| G-transformerPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.49 | |
| G-NetPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.54 | |
| CTPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.55 | |
| CRNPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.56 | |
| CTPrediction window (τ)=6, Training samples (N)=30002024.05 | 0.61 | |
| G-transformerPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.62 | |
| CRNPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.65 | |
| RMSNsPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.66 | |
| TE-CDEPrediction window (τ)=2, Training samples (N)=30002024.05 | 0.71 | |
| G-NetPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.72 | |
| G-transformerPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.73 | |
| CRNPrediction window (τ)=6, Training samples (N)=30002024.05 | 0.75 | |
| RMSNsPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.76 | |
| TE-CDEPrediction window (τ)=3, Training samples (N)=30002024.05 | 0.78 | |
| G-transformerPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.8 | |
| RMSNsPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.86 | |
| G-transformerPrediction window (τ)=6, Training samples (N)=30002024.05 | 0.87 | |
| TE-CDEPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.88 | |
| G-NetPrediction window (τ)=4, Training samples (N)=30002024.05 | 0.88 | |
| RMSNsPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.93 | |
| TE-CDEPrediction window (τ)=5, Training samples (N)=30002024.05 | 0.94 | |
| RMSNsPrediction window (τ)=6, Training samples (N)=30002024.05 | 1 | |
| G-NetPrediction window (τ)=5, Training samples (N)=30002024.05 | 1 | |
| TE-CDEPrediction window (τ)=6, Training samples (N)=30002024.05 | 1.02 | |
| G-NetPrediction window (τ)=6, Training samples (N)=30002024.05 | 1.11 |