Longitudinal MoCA score prediction on ADNI (1-year follow-up)
0.5556R2Surface-based Multimodal Framework (Ours)
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Surface-based Multimodal Framework (Ours)Diffusion steps (T)=3002026.06 | 0.5556 | 3.7164 | 2.9251 | 0.7554 | 0.7303 | |
| TabPFNData variation=Ori. Data2026.06 | 0.5216 | 3.8558 | 2.9387 | 0.735 | 0.719 | |
| Random Forest2026.06 | 0.4148 | 4.2645 | 3.1897 | 0.722 | 0.5011 | |
| XGBoost2026.06 | 0.3873 | 4.3637 | 3.5586 | 0.6485 | 0.4862 | |
| AutoGluon2026.06 | 0.2823 | 4.7227 | 3.4885 | 0.6086 | 0.4738 | |
| MuIT2026.06 | 0.2808 | 4.7276 | 3.3312 | 0.5825 | 0.6092 | |
| LightGBM2026.06 | 0.2116 | 4.95 | 3.6163 | 0.4633 | 0.4404 | |
| TabNet2026.06 | -14.82 | 22.18 | 21.42 | 0.0049 | -0.0176 |