Predictive Modelling Approach for Sleep Disorder using Sleep Health and Lifestyle Properties
Keywords:
Sleep Disorders, Predictive Modeling, Machine Learning, Sleep Health, Lifestyle Factors, InsomniaAbstract
The Sleep Health and Lifestyle Dataset is a comprehensive collection of sleep and lifestyle-related variables for 400 individuals, providing valuable insights into sleep patterns, daily habits, and potential sleep disorders. By analyzing physical activity levels, stress, and BMI categories, healthcare professionals can design personalized lifestyle interventions to improve overall health and well-being.
References
Hoyniak, Caroline P., et al. "The physical home environment and sleep: What matters most for sleep in early childhood." Journal of Family Psychology 36.5 (2022): 757.
Sutherland, Kate, et al. "Comparative associations of oximetry patterns in Obstructive Sleep Apnea with incident cardiovascular disease." Sleep 45.12 (2022): zsac179.
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Published
2025-04-23
How to Cite
Dr. N. Satyavathi, Kandagatla Karthik, Gummula Sai Vamshi, Bolla Shivasai. (2025). Predictive Modelling Approach for Sleep Disorder using Sleep Health and Lifestyle Properties . Journal of Computational Analysis and Applications (JoCAAA), 34(4), 482–492. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2329
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