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Counterfactual Outcome Prediction on MIMIC-III semi-synthetic (N=3000) (test)

0.24RMSEIGC-Net
0.20520.44010.6750.9099May 31, 2024
Updated 8mo ago

Evaluation results

MethodLinks
IGC-NetPrediction window (τ)=2, Training samples (N)=30002024.050.24
IGC-NetPrediction window (τ)=3, Training samples (N)=30002024.050.31
CTPrediction window (τ)=2, Training samples (N)=30002024.050.32
IGC-NetPrediction window (τ)=4, Training samples (N)=30002024.050.36
CRNPrediction window (τ)=2, Training samples (N)=30002024.050.37
CTPrediction window (τ)=3, Training samples (N)=30002024.050.4
IGC-NetPrediction window (τ)=5, Training samples (N)=30002024.050.42
CRNPrediction window (τ)=3, Training samples (N)=30002024.050.46
IGC-NetPrediction window (τ)=6, Training samples (N)=30002024.050.48
CTPrediction window (τ)=4, Training samples (N)=30002024.050.49
G-transformerPrediction window (τ)=2, Training samples (N)=30002024.050.49
G-NetPrediction window (τ)=2, Training samples (N)=30002024.050.54
CTPrediction window (τ)=5, Training samples (N)=30002024.050.55
CRNPrediction window (τ)=4, Training samples (N)=30002024.050.56
CTPrediction window (τ)=6, Training samples (N)=30002024.050.61
G-transformerPrediction window (τ)=3, Training samples (N)=30002024.050.62
CRNPrediction window (τ)=5, Training samples (N)=30002024.050.65
RMSNsPrediction window (τ)=2, Training samples (N)=30002024.050.66
TE-CDEPrediction window (τ)=2, Training samples (N)=30002024.050.71
G-NetPrediction window (τ)=3, Training samples (N)=30002024.050.72
G-transformerPrediction window (τ)=4, Training samples (N)=30002024.050.73
CRNPrediction window (τ)=6, Training samples (N)=30002024.050.75
RMSNsPrediction window (τ)=3, Training samples (N)=30002024.050.76
TE-CDEPrediction window (τ)=3, Training samples (N)=30002024.050.78
G-transformerPrediction window (τ)=5, Training samples (N)=30002024.050.8
RMSNsPrediction window (τ)=4, Training samples (N)=30002024.050.86
G-transformerPrediction window (τ)=6, Training samples (N)=30002024.050.87
TE-CDEPrediction window (τ)=4, Training samples (N)=30002024.050.88
G-NetPrediction window (τ)=4, Training samples (N)=30002024.050.88
RMSNsPrediction window (τ)=5, Training samples (N)=30002024.050.93
TE-CDEPrediction window (τ)=5, Training samples (N)=30002024.050.94
RMSNsPrediction window (τ)=6, Training samples (N)=30002024.051
G-NetPrediction window (τ)=5, Training samples (N)=30002024.051
TE-CDEPrediction window (τ)=6, Training samples (N)=30002024.051.02
G-NetPrediction window (τ)=6, Training samples (N)=30002024.051.11