Table 1.
Performance Evaluation based on ROC AUC.
| Dataset | Demographics | Digital Exhaust | Digital Exhaust + Demographics |
|---|---|---|---|
| TUG | 0.662 ± 0.041 | 0.786 ± 0.037 | 0.783 ± 0.036 |
| POMA | 0.777 ± 0.028 | 0.782 ± 0.035 | 0.805 ± 0.027 |
| EFS | 0.564 ± 0.034 | 0.704 ± 0.039 | 0.698 ± 0.038 |
| GDS | 0.602 ± 0.046 | 0.620 ± 0.048 | 0.616 ± 0.048 |
| MoCA | 0.430 ± 0.038 | 0.780 ± 0.039 | 0.757 ± 0.038 |
ROC AUC based results for the creation of machine learning-derived digital COAs based on clinical assessments for fall risk (TUG & POMA), frailty (EFS), late-life depression (GDS), and mild cognitive impairment (MoCA).
TUG Timed Up and Go Test
POMA Performance-Oriented Mobility Assessment
EFS Edmonton Frail Scale
MoCA Montreal Cognitive Assessment