# Longitudinal MoCA score prediction on ADNI (2-year follow-up)

Source: [Longitudinal MoCA score prediction on ADNI (2-year follow-up)](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-16T08:41:04.581Z

Evaluation of models predicting the Longitudinal Montreal Cognitive Assessment (MoCA) score using the ADNI 2-year follow-up data, assessed using regression metrics including R2, RMSE, MAE, and correlation coefficients (Pearson/Spearman).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Longitudinal MoCA score prediction |
| Dataset (including any stated split) | ADNI (2-year follow-up) |
| Metric | R2 |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [R2](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up.md?metric=R2>): Higher is better; unit: SCALAR.

- [RMSE](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up.md?metric=MAE>): Lower is better; unit: SCALAR.

- [Pearson Correlation Coefficient](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up.md?metric=Pearson%20Correlation%20Coefficient>): Higher is better; unit: SCALAR.

- [Spearman Correlation Coefficient](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-2-year-follow-up.md?metric=Spearman%20Correlation%20Coefficient>): Higher is better; unit: SCALAR.

## Recorded results

| Method | R2 | Result date | Report paper |
| --- | --- | --- | --- |
| Surface-based Multimodal Framework (Ours) | 0.7835 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| TabPFN | 0.7409 | Not recorded | 6a30d8d5d33dfb23e783cf5d |

### Surface-based Multimodal Framework (Ours)

R2: 0.7835. Result ID: 6a310c0dfbc373592c2d63df.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

Recorded evaluation configuration: {"Diffusion steps (T)":"300"}. This record does not assert independent reproduction.

### TabPFN

R2: 0.7409. Result ID: 6a310c0dfbc373592c2d63de.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

Recorded evaluation configuration: {"Data variation":"Ori. Data"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.