Table 4:
Prediction accuracy in the ADNI-3TP dataset
| Metrics | NRMSE | NMAE | ||||||
|---|---|---|---|---|---|---|---|---|
| Model | LIN | EXP | LIN | EXP | ||||
| Group (n) | SUVR | dSUVR | SUVR | dSUVR | SUVR | dSUVR | SUVR | dSUVR |
| All (22) | 0.0829 | 0.2754 | 0.0442 | 0.1470 | 0.0724 | 0.2406 | 0.0308 | 0.1023 |
| Tau ↑ (10) | 0.1006 | 0.3883 | 0.0566 | 0.2185 | 0.0889 | 0.3431 | 0.0393 | 0.1515 |
| Tau (12) | 0.0799 | 0.2341 | 0.0384 | 0.1125 | 0.0712 | 0.2086 | 0.0289 | 0.0847 |
| MCI (7) | 0.0672 | 0.2662 | 0.0363 | 0.1438 | 0.0600 | 0.2378 | 0.0270 | 0.1069 |
| CN (12) | 0.1395 | 0.3697 | 0.0640 | 0.1695 | 0.1230 | 0.3258 | 0.0458 | 0.1214 |
| AD (3) | 0.1204 | 0.3418 | 0.0871 | 0.2473 | 0.1038 | 0.2949 | 0.0603 | 0.1712 |
LIN: linear source model; EXP: exponential source model