Table 1 Comparing the AUROCs between an existing mortality score or a biological age as reported in the original paper and the IMPACT-20 model tested for the corresponding follow-up time and age ranges in the NHANES dataset.
From: Interpretable machine learning prediction of all-cause mortality
 | Task | Age | AUROC | AUROC of IMPACT-20 | AUROC of IMPACT-20 (temporal validation) |
---|---|---|---|---|---|
Mortality risk scores | |||||
Intermountain6 | 1-year mortality | 18 + | 0.84 | 0.92 | 0.88 |
Gagne Index7 | 1-year mortality | 65 + | 0.79 | 0.85 | 0.85 |
Intermountain6 | 5-year mortality | 18 + | 0.87 | 0.89 | 0.88 |
Prognostic score5 | 5-year mortality | 40–70 | Male: 0.80 | Male: 0.85 | Male: 0.80 |
Female: 0.79 | Female: 0.83 | Female: 0.80 | |||
Schonberg Index8 | 5-year mortality | 65 + | 0.75 | 0.80 | 0.83 |
Biological ages | |||||
10-year mortality | 21–84 | 0.56 | 0.90 | 0.89 | |
10-year mortality | 21–84 | 0.57 | 0.90 | 0.89 | |
DNAm PhenoAge19 | 10-year mortality | 21–84 | 0.62 | 0.90 | 0.89 |
10-year mortality | 20–85 | 0.88 | 0.90 | 0.89 |