Age estimation from sleep studies using deep learning predicts life expectancy.
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ABSTRACT:
SUBMITTER: Brink-Kjaer A
PROVIDER: S-EPMC9307657 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
Publications
Age estimation from sleep studies using deep learning predicts life expectancy.
Brink-Kjaer Andreas A Leary Eileen B EB Sun Haoqi H Westover M Brandon MB Stone Katie L KL Peppard Paul E PE Lane Nancy E NE Cawthon Peggy M PM Redline Susan S Jennum Poul P Sorensen Helge B D HBD Mignot Emmanuel E
NPJ digital medicine 20220722 1
Sleep disturbances increase with age and are predictors of mortality. Here, we present deep neural networks that estimate age and mortality risk through polysomnograms (PSGs). Aging was modeled using 2500 PSGs and tested in 10,699 PSGs from men and women in seven different cohorts aged between 20 and 90. Ages were estimated with a mean absolute error of 5.8 ± 1.6 years, while basic sleep scoring measures had an error of 14.9 ± 6.29 years. After controlling for demographics, sleep, and health cov ...[more]
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