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Titlebook: Handbook of AI and Data Sciences for Sleep Disorders; Richard B. Berry,Panos M. Pardalos,Xiaochen Xian Book 2024 The Editor(s) (if applica

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書(shū)目名稱(chēng)Handbook of AI and Data Sciences for Sleep Disorders
編輯Richard B. Berry,Panos M. Pardalos,Xiaochen Xian
視頻videohttp://file.papertrans.cn/432/431006/431006.mp4
概述First book to summarize AI and data science techniques in the application of sleep disorders.Contains fundamental knowledge and state-of-the-art methodologies.Interdisciplinary content appeals to an e
叢書(shū)名稱(chēng)Springer Optimization and Its Applications
圖書(shū)封面Titlebook: Handbook of AI and Data Sciences for Sleep Disorders;  Richard B. Berry,Panos M. Pardalos,Xiaochen Xian Book 2024 The Editor(s) (if applica
描述.The 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...The interdisciplinary nature of this handbook fosters collaboration between experts from diverse fields, including computer science, engineering, neuroscience, medicine, public health, AI, data science, and sleep medicine. Each chapter delves into specific aspects of sleep disorder analysis, innovative methodologies, novel insights, and real-world applications that showcase the transformative potential of AI and data science in sleep medicine, from analyzing sleep patterns and predicting disorder risk factors to utilizing big data analytics for large-scale epidemiological studies. This handbook hopes to offer a comprehensive resource for researchers, clinicians, and policymakers stri
出版日期Book 2024
關(guān)鍵詞optimization techniques sleep disorder detection; sleep disorders; sleep disorder analytics; machine le
版次1
doihttps://doi.org/10.1007/978-3-031-68263-6
isbn_softcover978-3-031-68265-0
isbn_ebook978-3-031-68263-6Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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https://doi.org/10.1007/978-3-031-68263-6optimization techniques sleep disorder detection; sleep disorders; sleep disorder analytics; machine le
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Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Slex tapestry of sleep disorders but also to illuminate the path toward more precise diagnosis, personalized treatment strategies, and a deeper understanding of sleep disorders, ultimately empowering sleep health. This chapter provides an extensive review of recent advancements in the applications and
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