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. 2018 Jan 11;73(11):1482–1490. doi: 10.1093/gerona/gly005

Table 1.

The performance of models trained on the three populations separately and the combined populations. DNNs were trained and tested on four datasets: the South Korean, Canadian, Eastern European, and the combined dataset (All) with 19, 20, and 21 input features.

Testing Set Training Set Features r (all [f; m]) R 2 (all [f;m]) MAE (years)
(All [f; m])
ε-Accuracy Std of Δ Between Predicted and Actual Age
Canada S. Korea 20 0.57 [0.55; 0.59] 0.24 [0.24; 0.24] 7.87 [7.66; 8.12] 0.70 [0.73; 0.69] 6.19 [6.66; 5.69]
Canada 20 0.70 [0.70; 0.70] 0.52 [0.52; 0.47] 6.36 [6.46; 6.28] 0.80 [0.79; 0.81] 5.24 [5.43; 5.05]
19 (wout sex) 0.69 [0.69; 0.69] 0.47 [0.47; 0.46] 6.48 [6.51; 6.44] 0.81 [0.79; 0.82] 5.35 [5.55; 5.12]
E. Europe 20 0.52 [0.52; 0.52] 0.24 [0.27; 0.22] 9.68 [9.98; 9.2] 0.62 [0.58; 0.70] 7.83 [8.34; 7.27]
All 21 0.72 [0.73; 0.71] 0.52 [0.53; 0.50] 6.17 [6.19; 6.17] 0.70 [0.69; 0.72] 5.12 [5.2; 5.02]
21 eq pop. Densities 0.72 [0.73; 0.71] 0.51 [0.52; 0.50] 5.98 [6.02; 5.97] 0.83 [0.82; 0.84] 5.01 [5.09; 4.96]
20 (wout pop.) 0.72 [0.72; 0.71] 0.51 [0.52; 0.50] 6.05 [6.08; 6.03] 0.83 [0.82; 0.84] 5.03 [5.09; 5.01]
20 (wout sex) 0.69 [0.69; 0.68] 0.44 [0.45; 0.44] 6.62 [6.65; 6.59] 0.80 [0.80; 0.81] 5.21 [5.3; 5.06]
S. Korea S. Korea 20 0.70 [0.73; 0.66] 0.49 [0.53; 0.43] 5.59 [5.45; 5.77] 0.85 [0.86, 0.84] 4.76 [4.76; 4.76]
20 (wout sex) 0.69 [0.72; 0.66] 0.48 [0.52; 0.44] 5.64 [5.41; 5.81] 0.87 [0.88; 0.86] 4.8 [4.81; 4.8]
Canada 20 0.52 [0.52; 0,47] 0.24 [0.27; 0.22] 7.1 [7.66; 8.12] 0.72 [0.72; 0.71] 6.32 [6.52; 6.03]
E. Europe 20 0.54 [0.56; 0.52] 0.29 [0.27; 0.31] 9.77 [10.21; 9.02] 0.65 [0.62; 0.68] 7.34 [7.49; 7.1]
All 21 0.70 [0.73; 0.66] 0.49 [0.53; 0.43] 5.60 [5.46; 5.78] 0.75 [0.74; 0.76] 4.82 [4.82; 4.8]
21 eq pop. Densities 0.67 [0.7; 0.64] 0.45 [0.49; 0.4] 6.49 [6.4; 6.57] 0.81 [0.8; 0.82] 5.19 [5.20; 5.19]
20 (wout pop.) 0.69 [0.72; 0.65] 0.46 [0.49; 0.41] 5.78 [5.51; 5.91] 0.86 [0.86; 0.86] 4.85 [4.84; 4.86]
20 (wout sex) 0.68 [0.72; 0.64] 0.46 [0.49; 0.41] 5.77 [5.5; 5.91] 0.86 [0.85; 0.86] 4.85 [4.85; 4.85]
E. Europe Korea 20 0.76 [0.77; 0.75] 0.34 [0.36; 0.33] 8.52 [8.89; 7.93] 0.31 [0.28; 0.35] 6.47 [6.73; 5.96]
Canada 20 0.68 [0.68; 0.72] 0.27 [0.24; 0.27] 9.25 [10.09; 7.91] 0.38 [0.37; 0.38] 7.28 [7.78; 6.17]
E. Europe 20 0.84 [0.85; 0.82] 0.69 [0.72; 0.67] 6.25 [6.24; 6.28] 0.82 [0.83; 0.80] 5.34 [5.51; 5.04]
19 (wout sex) 0.83 [0.82; 0.84] 0.70 [0.73; 0.68] 6.29 [6.28; 6.31] 0.83 [0.84; 0.80] 5.39 [5.61; 5.12]
All 21 0.84 [0.85; 0.82] 0.70 [0.72; 0.67] 6.22 [6.15; 6.33] 0.81 [0.81; 0.81] 5.28 [5.4; 5]
21 eq pop. Densities 0.75 [0.75; 0.74] 0.56 [0.57; 0.56] 5.97 [5.94; 6.02] 0.84 [0.84; 0.84] 5.07 [5.29; 4.88]
20 (wout pop.) 0.82 [0.82; 0.82] 0.68 [0.69; 0.68] 6.57 [6.55; 6.61] 0.81 [0.81; 0.81] 5.37 [5.51; 5.09]
20 (wout sex) 0.82 [0.83; 0.82] 0.67 [0.68; 0.67] 6.29 [6.27; 6.32] 0.81 [0.81; 0.81] 5.3 [5.45; 5.06]
All S. Korea 20 0.73 [0.72; 0.73] 0.44 [0.52; 0.53] 7.01 [7.16; 6.82] 0.85 [0.86; 0.84] 5.85 [6.13; 5.46]
Canada 20 0.65 [0.64; 0.66] 0.36 [0.37; 0.33] 8.71 [8.25; 7.54] 0.88 [0.88; 0.88] 6.49 [6.93; 5.87]
E. Europe 20 0.68 [0.69; 0.66] 0.46 [0.48; 0.44] 8.37 [8.78; 8.31] 0.82 [0.83; 0.80] 7.08 [7.31; 6.77]
All 21 0.80 [0.82; 0.78] 0.65 [0.67; 0.61] 5.94 [5.86; 6.04] 0.83 [0.84; 0.82] 5.04 [5.12; 4.93]
21 eq pop. Densities 0.71 [0.72; 0.70] 0.51 [0.53; 0.49] 6.13 [6.05; 6.19] 0.83 [0.84; 0.82] 5.19 [5.27; 5.01]
20 (wout pop.) 0.79 [0.80; 0.78] 0.62 [0.63; 0.61] 6.09 [6.01; 6.14] 0.83 [0.84; 0.82] 5.15 [5.25; 5.01]
20 (wout sex) 0.78 [0.79; 0.78] 0.61 [0.61; 0.61] 6.23 [6.21; 6.25] 0.82 [0.83; 0.81] 5.32 [5.36; 5.11]
NHANES S. Korea 20 0.60 [0.57; 0.68] 0.36 [0.32; 0.46] 11.34 [12.53; 9.78] 0.50 [0.46; 0.56] 9.89 [10.27; 9.44]
Canada 20 0.56 [0.57; 0.59] 0.31 [0.32; 0.35] 12.65 [13.84; 11.09] 0.46 [0.41; 0.51] 10.93 [10.96; 10.88]
E. Europe 20 0.68 [0.67; 0.70] 0.46 [0.45; 0.49] 7.88 [7.23; 8.37] 0.40 [0.39; 0.42] 10.00 [10.27; 9.44]
All 21 0.71 [0.71; 0.72] 0.50 [0.50; 0.52] 9.93 [10.36; 9.35] 0.58 [0.57; 0.61] 10.57 [11.00; 10.09]

Note: Models trained on the combined dataset more accurately predict age of individual population samples compared to the population specific models. Exclusion of both sex and population features from training datasets resulted in a decrease in the accuracy of the age prediction. r for Pearson correlation coefficient; R2 for coefficient of determination; MAE for mean absolute error, that shows the average disagreement between actual chronological and predicted ages; f for female and m for male; “wout sex” stands for sets without sex as a feature and “wout pop.” stands for sets without population as a feature; ε-accuracy the accuracy of prediction within a period, which was calculated for ε of 10 years; Std for standard deviation; Δ for delta. The performance of best models (in terms of R2) is in bold.