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Handbook of AI and Data Sciences for Sleep Disorders by Richa... - 9783031682629
Handbook of AI and Data Sciences for Sleep Disorders by Richa... - 9783031682629

Handbook of AI and Data Sciences for Sleep Disorders by Richa... - 9783031682629

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Handbook of AI and Data Sciences for Sleep DisordersAuthor(s): Richard B. Berry, Panos M. Pardalos, Xiaochen Xian\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031682629, 978-3031682629\nSynopsis\nThe rise of lifestyle changes resulting from constant connectivity, irregular work schedules, heightened stress, and disruptive sleep patterns, have contributed to increasing insomnia rates. Exacerbated by the COVID-19 pandemic, sleep disorders are more prevalent than ever. This handbook offers a comprehensive exploration of the fusion of Artificial Intelligence (AI) and data science within the realm of sleep disorders, presenting innovative approaches to diagnosis, treatment, and personalized care.\n\nThe interdisciplinary nature of this handbook fosters collaboration between experts from diverse fields, including computer science, engineering, neuroscience, medicine, public health, AI, data scie.

Handbook of AI and Data Sciences for Sleep Disorders by Richa... - 9783031682629

Handbook of AI and Data Sciences for Sleep DisordersAuthor(s): Richard B. Berry, Panos M. Pardalos, Xiaochen Xian\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783031682629, 978-3031682629\nSynopsis\nThe rise of lifestyle changes resulting from constant connectivity, irregular work schedules, heightened stress, and disruptive sleep patterns, have contributed to increasing insomnia rates. Exacerbated by the COVID-19 pandemic, sleep disorders are more prevalent than ever. This handbook offers a comprehensive exploration of the fusion of Artificial Intelligence (AI) and data science within the realm of sleep disorders, presenting innovative approaches to diagnosis, treatment, and personalized care.\n\nThe interdisciplinary nature of this handbook fosters collaboration between experts from diverse fields, including computer science, engineering, neuroscience, medicine, public health, AI, data scie.

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