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Int. J. Environ. Res. Public Health 2019, 16(2), 291; https://doi.org/10.3390/ijerph16020291

SleepOMICS: How Big Data Can Revolutionize Sleep Science

1
Department of Health Sciences (DISSAL), Postgraduate School of Public Health, Genoa University, 16132 Genoa, Italy
2
Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Genoa University, 16132 Genoa, Italy
*
Author to whom correspondence should be addressed.
Received: 25 December 2018 / Revised: 15 January 2019 / Accepted: 16 January 2019 / Published: 21 January 2019
(This article belongs to the Special Issue Sleep Disorders Across the Lifespan: A Different Perspective)
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Abstract

Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. “Real-life” behavioral (sensor-based), molecular, digital, and epidemiological big data represent a source of an impressive wealth of information that can be exploited in order to advance the field of sleep research. It can be anticipated that big data will have a profound impact, potentially enabling the dissection of differences and oscillations in sleep dynamics and architecture at the individual level (“sleepOMICS”), thus paving the way for a targeted, “one-size-does-not-fit-all” management of sleep disorders (“precision sleep medicine”). View Full-Text
Keywords: sleep; sleep disorders; big data; OMICS sciences; connectomics; wearable sensors; behavioral informatics; infodemiology; infoveillance; personalized sleep medicine; precision sleep medicine sleep; sleep disorders; big data; OMICS sciences; connectomics; wearable sensors; behavioral informatics; infodemiology; infoveillance; personalized sleep medicine; precision sleep medicine
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Bragazzi, N.L.; Guglielmi, O.; Garbarino, S. SleepOMICS: How Big Data Can Revolutionize Sleep Science. Int. J. Environ. Res. Public Health 2019, 16, 291.

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