Medicine and Health
Age estimation from sleep studies using deep learning predicts life expectancy
A. Brink-kjær, E. B. Leary, et al.
This groundbreaking study, conducted by a team of experts including Andreas Brink-Kjær and Eileen B. Leary, leverages deep neural networks to accurately estimate age and mortality risk from polysomnograms. With a remarkable mean absolute error of just 5.8 years, these models reveal crucial insights into how age estimation errors can significantly correlate with life expectancy.
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