Age estimation from sleep studies using deep learning predicts life expectancy

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 an...

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Detalles Bibliográficos
Autores principales: Brink-Kjaer, Andreas, Leary, Eileen B., Sun, Haoqi, Westover, M. Brandon, Stone, Katie L., Peppard, Paul E., Lane, Nancy E., Cawthon, Peggy M., Redline, Susan, Jennum, Poul, Sorensen, Helge B. D., Mignot, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307657/
https://www.ncbi.nlm.nih.gov/pubmed/35869169
http://dx.doi.org/10.1038/s41746-022-00630-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307657/
https://www.ncbi.nlm.nih.gov/pubmed/35869169
http://dx.doi.org/10.1038/s41746-022-00630-9

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