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SleepOMICS: How Big Data Can Revolutionize Sleep Science
16 references·0 citing·54 second hop
SleepOMICS: How Big Data Can Revolutionize Sleep Science (2019)SleepOMICS: How Big Data Can Revolutioniz…The Global Problem of Insufficient Sleep and Its Serious Public Health Implications (2018)The Global Problem of Insuffi…Religious involvement as a social determinant of sleep: an initial review and conceptual model (2018)Religious involvement as a so…Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks (2018)Quantifying sleep architectur…Big Data Analytics in Medicine and Healthcare (2018)Big Data Analytics in Medicin…Orthosomnia: Are Some Patients Taking the Quantified Self Too Far? (2017)Orthosomnia: Are Some Patient…Neurobehavioral Effects and Biomarkers of Sleep Loss in Healthy Adults (2017)Neurobehavioral Effects and B…How are age-related differences in sleep quality associated with health outcomes? An epidemiological investigation in a UK cohort of 2406 adults (2017)How are age-related differenc…Dynamics and Ultradian Structure of Human Sleep in Real Life (2017)Dynamics and Ultradian Struct…Using Smartphones to Collect Behavioral Data in Psychological Science (2016)Using Smartphones to Collect …Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource (2016)Scaling Up Scientific Discove…Co-Morbidity, Mortality, Quality of Life and the Healthcare/Welfare/Social Costs of Disordered Sleep: A Rapid Review (2016)Co-Morbidity, Mortality, Qual…Racial/ethnic disparities in sleep health and health care: importance of the sociocultural context (2015)Racial/ethnic disparities in …Sleep Problems: An Emerging Global Epidemic? Findings From the INDEPTH WHO-SAGE Study Among More Than 40,000 Older Adults From 8 Countries Across Africa and Asia (2012)Sleep Problems: An Emerging G…Classification and Epidemiology of Childhood Sleep Disorders (2008)Classification and Epidemiolo…History of the Development of Sleep Medicine in the United States (2005)History of the Development of…Introduction (1998)IntroductionThe World Health Organization quality of life assessment (WHOQOL): Position paper from the World Health Organization (1995)Meta-Analysis of Quantitative Sleep Parameters From Childhood to Old Age in Healthy Individuals: Developing Normative Sleep Values Across the Human Lifespan (2004)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Age and gender effects on the prevalence of poor sleep quality in the adult population (2016)Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits (2016)Interplay between social media use, sleep quality, and mental health in youth: A systematic review (2020)The Sleep Disturbance Scale for Children (SDSC) Construct ion and validation of an instrument to evaluate sleep disturbances in childhood and adolescence (1996)Sleep Schedules and Daytime Functioning in Adolescents (1998)The Children's Sleep Habits Questionnaire (CSHQ): Psychometric Properties of A Survey Instrument for School-Aged Children (2000)Assessment of Chronotype in Four- to Eleven-Year-Old Children: Reliability and Validity of the Children's ChronoType Questionnaire (CCTQ) (2009)Sleep in pediatric primary care: A review of the literature (2015)Sleep in Children with Autism Spectrum Disorder (2017)Five‐Hundred Life‐Saving Interventions and Their Cost‐Effectiveness (1995)Incorporating “Motivation” Into the Functional Analysis of Challenging Behavior (2007)Sleep Deprivation and Psychomotor Performance Among Night-Shift Nurses (2010)Potentiality of Big Data in the Medical Sector: Focus on How to Reshape the Healthcare System (2013)Challenges of Big Data analysis (2014)The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data (2014)Validation of the Sleep Regularity Index in Older Adults and Associations with Cardiometabolic Risk (2018)The future of sleep health: a data-driven revolution in sleep science and medicine (2020)Investigating the relationship between objective measures of sleep and self-report sleep quality in healthy adults: a review (2021)Epidemiologic Study of Sleep Disturbances and Psychiatric Disorders (1989)Epidemiologic study of sleep disturbances and psychiatric disorders. 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References

  • 2018The Global Problem of Insufficient Sleep and Its Serious Public Health Implications1,027 cited
  • 2012Sleep Problems: An Emerging Global Epidemic? Findings From the INDEPTH WHO-SAGE Study Among More Than 40,000 Older Adults From 8 Countries Across Africa and Asia592 cited
  • 2016Using Smartphones to Collect Behavioral Data in Psychological Science515 cited
  • 2018Big Data Analytics in Medicine and Healthcare376 cited
  • 2008Classification and Epidemiology of Childhood Sleep Disorders322 cited
  • 2016Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource311 cited
  • 2017How are age-related differences in sleep quality associated with health outcomes? An epidemiological investigation in a UK cohort of 2406 adults214 cited
  • 2016Co-Morbidity, Mortality, Quality of Life and the Healthcare/Welfare/Social Costs of Disordered Sleep: A Rapid Review197 cited
  • 2017Orthosomnia: Are Some Patients Taking the Quantified Self Too Far?188 cited
  • 1998Introduction183 cited
  • 2015Racial/ethnic disparities in sleep health and health care: importance of the sociocultural context148 cited
  • 2005History of the Development of Sleep Medicine in the United States144 cited
  • 2017Neurobehavioral Effects and Biomarkers of Sleep Loss in Healthy Adults73 cited
  • 2018Religious involvement as a social determinant of sleep: an initial review and conceptual model

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67 cited
  • 2017Dynamics and Ultradian Structure of Human Sleep in Real Life67 cited
  • 2018Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks63 cited
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