Skip to main content
. 2019 Aug 20;7:2200211. doi: 10.1109/JTEHM.2019.2936348

TABLE 1. Results.

Dataset Partition Specificity Sensitivity Precision Accuracy
Chance Original LLE PCA Chance Original LLE PCA Chance Original LLE PCA Chance Original LLE PCA
Beijing (Peking_3) Training 100% 73.3% ± 15.8% 80% ± 14.3% 66.7% ± 16.9% 0% 53.3% ± 17.9% 93.3% ± 8.9% 80% ± 14.3% 0% 66.7% ± 16.9% 82.4% ± 13.6% 70.6% ± 16.3% 50% ± 17.9% 63.3% ± 17.2% 86.7% ± 12.2% 73.3% ± 15.8%
Holdout 100% 75% 87.5% 25% 0% 100% 50% 25% 0% 66.7% 66.7% 14% 67% 83.3% 75% 25%
COBRE Training 100% 57.7% ± 13.6% 92.3% ± 7.3% 96.2% ± 5.3% 0% 60% ± 13.4% 88% ± 8.9% 52% ± 13.7% 0% 57.7% ± 13.6% 91.7% ± 7.6% 92.9% ± 7.1% 51% ± 13.7% 54.9% ± 13.7% 90.2% ± 8.2% 74.5% ± 6.1%
Holdout 100% 60% 100% 100% 0% 70% 100% 60% 0% 63.6% 100% 100% 50% 65% 100% 80%
Mind Research Network (MRN) Training 100% N/A 88.2% ± 11.5% 100% 0% N/A 84.6% ± 12.9% 23.1% ± 15.1% 0% N/A 84.6% ± 12.9% 100% 56.7% ± 17.7% N/A 86.7% ± 12.2% 66.7% ± 16.9%
Holdout 100% N/A 67% 100% 0% N/A 71% 14% 0% N/A 63% 100% 56% N/A 68.8% 62.5%
Stanford Training 100% 73.3% ± 15.8% 80% ± 14.3% 100% 0% 66.7% ± 16.9% 86.7% ± 12.2% 33.3% ± 16.9% 0% 71.4% ± 16.2% 81.3% ± 14% 100% 50% ± 17.9% 70% ± 16.4% 83.3% ± 13.3% 66.7% ± 16.9%
Holdout 100% 80% 80% 100% 0% 40% 60% 0% 0% 67% 75% 0% 50% 60% 70% 50%
University of Michigan (UM_2) Training 100% 69.2% ± 20.2% 100% 100% 0% 42.9% ± 21.7% 71.4% ± 19.8% 14.3% ± 15.3% 0% 42.9% ± 21.7% 100% 100% 65% ± 20.9% 60% ± 21.5% 90% ± 13.1% 70% ± 20.1%
Holdout 100% 66.6% 100% 83.3% 0% 25% 50% 0% 0% 20% 100% 0% 60% 30% 80% 50%