Unverified50% confidenceBenchmarkExact time
Physiological trajectory features (R2 relative to R1) brought consistent improvement in external prediction on eICU, with a log-loss difference of -0.00922 (95% CI -0.01148 to -0.00704).
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50%
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Long-term
Relevance
11/2/2026
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UnverifiedR² (coefficient of determination) measures how well a trend line explains the actual data, with values ranging from 0 to 1; a value close to 1 indicates that a physician's prescribing behavior develops steadily along the trend.69% similarUnverifiedWhen the number of observations was matched, spreading measurements across the entire time window compared with random retention gave a log-loss improvement of 0.03280 for R3, versus only 0.00703 for R2.69% similarUnverifiedThe coefficient of determination R² for this power-law fit is 0.732, which improves to 0.821 after adding interaction terms.69% similarUnverifiedFor algebraically decaying forecast memory, the optimal r-mode prediction error decays at a rate of e^(-Θ(√r)).66% similarUnverifiedGradient Boosting and XGBoost both achieved an R² of 0.903 on unseen data.66% similar
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