Optimize healthcare workflows: Sleeping disorders diagnosis and challenges using digital twins
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0, IGI Global, ss.200-219, 2024
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2024
- Doi Numarası: 10.4018/979-8-3693-5893-1.ch010
- Yayınevi: IGI Global
- Sayfa Sayıları: ss.200-219
- Kırklareli Üniversitesi Adresli: Evet
Özet
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.