Abstract
Sleep health, a vital component of human well-being, is often overlooked in today’s fast-paced world, leading to a surge in the prevalence of sleep disorders that affect a large global population. Sleep disorders have emerged as a pressing health concern that not only causes significant adverse impacts on patients’ health and quality of life but also places a substantial economic burden on society. The advent of the fourth industrial revolution marks the onset of a new era in sleep health, characterized by the convergence of digital technologies and unprecedented access to data related to sleep disorders. Artificial Intelligence (AI) and Data Science (DS), two pillars of this technological revolution, are poised to unleash their transformative power in the multifaceted realm of sleep disorders. The synergy of AI and DS represents a transformative opportunity to not only unravel the complex tapestry of sleep disorders but also to illuminate the path toward more precise diagnosis, personalized treatment strategies, and a deeper understanding of sleep disorders, ultimately empowering sleep health. This chapter provides an extensive review of recent advancements in the applications and methodologies of AI and DS in sleep disorders from a multitude of perspectives.
| Original language | English |
|---|---|
| Title of host publication | Springer Optimization and Its Applications |
| Pages | 1-44 |
| Number of pages | 44 |
| DOIs | |
| State | Published - 2024 |
Publication series
| Name | Springer Optimization and Its Applications |
|---|---|
| Volume | 216 |
| ISSN (Print) | 1931-6828 |
| ISSN (Electronic) | 1931-6836 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Applications
- Artificial Intelligence (AI)
- Data Science (DS)
- Methodologies
- Sleep disorders
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