From: Development of a brain MRI-based hidden Markov model for dementia recognition
Training Sets | Parameters | AD vs O (mean ± sd) | AD vs M (mean ± sd) | AD vs Y (mean ± sd) |
---|---|---|---|---|
50% | Sensitivity | 0.792 ± 0.087 | 0.933 ± 0.033 | 0.982 ± 0.020 |
 | Specificity | 0.773 ± 0.070 | 0.900 ± 0.047 | 0.982 ± 0.019 |
 | Accuracy | 0.782 ± 0.047 | 0.916 ± 0.026 | 0.982 ± 0.013 |
70% | Sensitivity | 0.790 ± 0.087 | 0.934 ± 0.045 | 0.986 ± 0.025 |
 | Specificity | 0.076 ± 0.084 | 0.891 ± 0.055 | 0.982 ± 0.023 |
 | Accuracy | 0.783 ± 0.053 | 0.912 ± 0.035 | 0.984 ± 0.015 |
90% | Sensitivity | 0.780 ± 0.169 | 0.934 ± 0.090 | 0.986 ± 0.048 |
 | Specificity | 0.800 ± 0.163 | 0.891 ± 0.117 | 0.980 ± 0.050 |
 | Accuracy | 0.790 ± 0.117 | 0.913 ± 0.065 | 0.983 ± 0.035 |
Leave-one-out | Sensitivity | 0.813 | 0.933 | 0.987 |
 | Specificity | 0.800 | 0.920 | 0.987 |
 | Accuracy | 0.807 | 0.927 | 0.987 |