Archive for: subjage

In this article, we present two novel aging clocks created within the deep learning paradigm – PsychoAge and SubjAge

DISCUSSION Each these clocks use the same set of fifty psychosocial options to estimate human chronological age and subjective age, respectively. These clocks showed sophisticated performance all the way through CV in MIDUS 1 (MAEPsychoAge= 6.70 years; MAESubjAge= 7.32 years) and were validated in two other huge knowledge sets – […]