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

Bragazzi, N.L.; Guglielmi, O.; Garbarino, S. SleepOMICS: How Big Data Can Revolutionize Sleep Science. Int. J. Environ. Res. Public Health 2019, 16, 291. https://doi.org/10.3390/ijerph16020291

AMA Style

Bragazzi NL, Guglielmi O, Garbarino S. SleepOMICS: How Big Data Can Revolutionize Sleep Science. International Journal of Environmental Research and Public Health. 2019; 16(2):291. https://doi.org/10.3390/ijerph16020291

Chicago/Turabian Style

Bragazzi, Nicola L.; Guglielmi, Ottavia; Garbarino, Sergio. 2019. "SleepOMICS: How Big Data Can Revolutionize Sleep Science" Int. J. Environ. Res. Public Health 16, no. 2: 291. https://doi.org/10.3390/ijerph16020291

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