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Classifying Sleep Health and Lifestyle Patterns: A Machine Learning Approach Using IoT and Cloud
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Author(s): Dipti Chauhan (Prestige Institute of Engineering Management and Research, Indore, India)and Jay Kumar Jain (MANIT, Bhopal, India)
Copyright: 2025
Pages: 28
Source title:
Revolutionizing Healthcare Systems Through Cloud Computing and IoT
Source Author(s)/Editor(s): Balasubramaniam S (Kerala University of Digital Sciences, Innovation, and Technology, Thiruvananthapuram, India)and Seifedine Kadry (Lebanese American University, Lebanon & Noroff University College, Norway)
DOI: 10.4018/979-8-3693-7225-8.ch007
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Abstract
Sleep is essential in today's hectic world, particularly for those who are under a lot of stress. With the advent of emerging technologies IoT, Cloud computing, ML etc. it becomes convenient for an individual to keep the track of their sleep patterns and can be helpful in the treatment of severe disorders. By leveraging cloud computing, this data can be processed, stored, and used for advanced analytics, enabling insights into an individual's sleep patterns and their impact on overall health. Individuals can use this real time data and healthcare professionals to understand, monitor, and improve sleep quality and overall well-being. This chapter provides an insight for the classification of sleep patterns for an individual. We have also presented a case study based on sleep apnea and insomnia disorders. These two common sleep disorders can have serious consequences for a person's overall health and sleep quality. This study will be beneficial for persons with sleep disorders from early detection and personalized intervention if sleep health patterns are accurately classified.
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