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Optimize Healthcare Workflows: Sleeping Disorders Diagnosis and Challenges Using Digital Twins
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Author(s): Veeramalla Anitha (Koneru Lakshmaiah Education Foundation, India), Sumalakshmi C. H. (Koneru Lakshmaiah Education Foundation, India)and Özen Özer Özer (Kirklareli University, Turkey)
Copyright: 2024
Pages: 20
Source title:
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Source Author(s)/Editor(s): Archi Dubey (The ICFAI University, India), C. Kishor Kumar Reddy (Stanley College of Engineering and Technology for Women, India), Srinath Doss (Botho University, Botswana)and Marlia Mohd Hanafiah (Universiti Kebangsaan Malaysia, Malaysia)
DOI: 10.4018/979-8-3693-5893-1.ch010
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Abstract
Sleeping disorders are a common medical condition affecting individuals of all ages. These disorders can manifest in various ways. One of the most common sleeping disorders among adults, insomnia, affects roughly 33-50% of the adult population and is characterized by difficulties getting to sleep and staying asleep. Insomnia is not only a standalone disorder but also a contributing risk factor for other health issues, including diabetes, obesity, asthma, chronic pain syndrome, depression, anxiety disorders, and cardiovascular illnesses. Moreover, sleeplessness is frequently linked to other mental health conditions like anxiety, depression, and post-traumatic stress disorder. In addition to the physical and mental health implications, insomnia also leads to impairments in daytime functioning and can greatly reduce an individual's quality of life.
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