Table 4 Prediction performance based on Δt over different schemes.
From: Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Δt | 6 m | 12 m | 18 m | 24 m |
|---|---|---|---|---|
(a) Multimodal longitudinal data (proposed) | ||||
ACC (mean ±sd) | 0.81 ± 0.03 | 0.81 ± 0.03 | 0.79 ± 0.03 | 0.80 ± 0.03 |
SEN (mean ± sd) | 0.84 ± 0.07 | 0.84 ± 0.05 | 0.82 ± 0.07 | 0.81 ± 0.10 |
SPE (mean ± sd) | 0.80 ± 0.04 | 0.80 ± 0.04 | 0.79 ± 0.04 | 0.80 ± 0.04 |
(b) Multimodal baseline visit data (baseline) | ||||
ACC (mean ±sd) | 0.76 ± 0.03 | 0.76 ± 0.03 | 0.78 ± 0.03 | 0.76 ± 0.03 |
SEN (mean ± sd) | 0.81 ± 0.07 | 0.82 ± 0.07 | 0.81 ± 0.07 | 0.80 ± 0.08 |
SPE (mean ± sd) | 0.80 ± 0.04 | 0.75 ± 0.03 | 0.77 ± 0.05 | 0.76 ± 0.03 |
(c) Cognitive performance data (single modal) | ||||
ACC (mean ±sd) | 0.74 ± 0.06 | 0.75 ± 0.05 | 0.74 ± 0.04 | 0.74 ± 0.04 |
SEN (mean ± sd) | 0.81 ± 0.07 | 0.78 ± 0.14 | 0.76 ± 0.20 | 0.76 ± 0.20 |
SPE (mean ± sd) | 0.75 ± 0.08 | 0.71 ± 0.05 | 0.71 ± 0.06 | 0.71 ± 0.06 |
