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SleepOMICS: How Big Data Can Revolutionize Sleep Science

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 impressiv...

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Detalles Bibliográficos
Autores principales: Bragazzi, Nicola Luigi, Guglielmi, Ottavia, Garbarino, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351921/
https://www.ncbi.nlm.nih.gov/pubmed/30669659
http://dx.doi.org/10.3390/ijerph16020291