Table 2 Results from test data for top 3 models predicting short- and long-term mortality.
AUC | Sensitivity | Specificity | PPV | NPV | Number of variables | |
|---|---|---|---|---|---|---|
3-day Mortality | ||||||
Naive bayes | 0.91 [0.91—0.91] | 0.92 [0.91—0.92] | 0.78 [0.78—0.79] | 0.03 [0.3–0.3] | 0.99 [0.99—0.99] | 15 |
Linear discriminant analysis | 0.93 [0.93—0.93] | 0.89 [0.86—0.89] | 0.83 [0.82—0.83] | 0.04 [0.4–0.5] | 0.99 [0.99—0.99] | 15 |
Logistic regression | 0.93 [0.93—0.93] | 0.85 [0.83—0.86] | 0.85 [0.84—0.89] | 0.04 [0.4–0.4] | 0.99 [0.99—0.99] | 15 |
10-day mortality | ||||||
Linear discriminant analysis | 0.91 [0.90—0.91] | 0.90 [0.87—0.93] | 0.78 [0.78—0.79] | 0.1 [0.09—0.11] | 0.99 [0.99—0.99] | 10 |
Logistic regression | 0.91 [0.89—0.93] | 0.90 [0.87—0.93] | 0.79 [0.79—0.79] | 0.1 [0.09—0.11] | 0.99 [0.99—0.99] | 10 |
Quadratic discriminant analysis | 0.90 [0.90 –0.90] | 0.91 [0.87—0.93] | 0.77 [0.76—0.77] | 0.1 [0.08—0.10] | 0.99 [0.99—0.99] | 10 |
30-day Mortality | ||||||
Linear discriminant analysis | 0.90 [090—0.90] | 0.90 [0.87—0.92] | 0.78 [0.77- 0.79] | 0.19 [0.18–0.21] | 0.99 [0.99—0.99] | 10 |
Quadratic discriminant analysis | 0.91 [0.89—0.91] | 0.89 [0.86—0.91] | 0.76 [0.75—077] | 0.18 [0.17—0.19] | 0.99 [0.99—0.99] | 10 |
Gradient boosting classifier | 0.92 [0.92—0.92] | 0.86 [0.84—0.89] | 0.82 [0.82—0.83] | 0.22 [0.21—0.24] | 0.99 [0.99—0.99] | 10 |
365-day mortality | ||||||
Gradient boosting classifier | 0.88 [0.88—0.89] | 0.82 [0.81—0.83] | 0.77 [0.76—0.77] | 0.44 [0.43—0.46] | 0.96 [0.95—0.99] | 10 |
Light gradient boosting machine | 0.89 [0.89—0.89] | 0.80 [0.80—0.81] | 0.81 [0.80—0.82] | 0.46 [0.44—0.49] | 0.95 [0.95—0.98] | 15 |
Quadratic discriminant analysis | 0.87 [0.87—0.89] | 0.85 [0.84—0.89] | 0.74 [0.73—0.75] | 0.40 [0.40—0.41] | 0.96 [0.95—0.99] | 15 |
