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Comment
. 2016 Sep 8;8(9):2253-2255.
doi: 10.18632/aging.101034.

Deep biomarkers of aging are population-dependent

Alan A Cohen  1 , Vincent Morissette-Thomas  1 , Luigi Ferrucci  2 , Linda P Fried  3
Affiliations
Comment

Deep biomarkers of aging are population-dependent

Alan A Cohen et al. Aging (Albany NY). .
No abstract available

Keywords: aging; biological age; biomarker; deep neural network; epidemiology.

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Figures

Figure 1
Figure 1
Correlation between actual and predicted age values on 110 observations from four databases (a) WHAS, (b) BLSA, (c) InCHIANTI, and (d) NHANES] using the DNN on 10 biomarkers (small circles) or all available biomarkers (large squares). Paired observations with 10 and all available biomarkers are linked by vertical lines. Orange symbols are men and black symbols are women. MAE is mean age error and Δ MAE is difference between MAE using 10 biomarkers and MAE using all available biomarkers, with positive values indicating better performance of the model with all biomarkers. Δ MAE parentheses indicate 95% confidence intervals.
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References

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