Handbook of AI and Data Sciences for Sleep Disorders

Handbook of AI and Data Sciences for Sleep Disorders PDF Author: Richard B. Berry
Publisher: Springer
ISBN: 9783031682629
Category : Mathematics
Languages : en
Pages : 0

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Book Description
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 striving to address the challenges in sleep medicine.

Handbook of AI and Data Sciences for Sleep Disorders

Handbook of AI and Data Sciences for Sleep Disorders PDF Author: Richard B. Berry
Publisher: Springer Nature
ISBN: 3031682637
Category :
Languages : en
Pages : 312

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Book Description


Advancing the Investigation and Treatment of Sleep Disorders Using AI

Advancing the Investigation and Treatment of Sleep Disorders Using AI PDF Author: Kumar, M. Rajesh
Publisher: IGI Global
ISBN: 1799880192
Category : Health & Fitness
Languages : en
Pages : 290

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Book Description
There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders. Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.

Novel Technologies in the Diagnosis and Management of Sleep-disordered Breathing

Novel Technologies in the Diagnosis and Management of Sleep-disordered Breathing PDF Author: Henri Korkalainen
Publisher: Frontiers Media SA
ISBN: 2832545149
Category : Science
Languages : en
Pages : 234

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Book Description
Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep apnea, is highly prevalent and represents a growing global healthcare burden. Besides disrupting sleep, sleep-disordered breathing leads to detrimental outcomes such as excessive daytime sleepiness, neurocognitive impairment, and increased cardiometabolic morbidities. The gold standard diagnostic procedures (e.g., in-lab polysomnography) are cumbersome and standard parameters derived from sleep studies often yield poor long-term prognostic value. Hence, there is a need for innovative diagnostic technologies and novel sleep metrics to enable simple diagnosis and tailored disease management.

Handbook of Sleep Research

Handbook of Sleep Research PDF Author:
Publisher: Academic Press
ISBN: 0128137444
Category : Science
Languages : en
Pages : 758

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Book Description
Handbook of Sleep Research, Volume 30, provides a comprehensive review of the current status of the neuroscience of sleep research. It begins with an overview of the neural, hormonal and genetic mechanisms of sleep and wake regulation before outlining the various proposed functions of sleep and the role it plays in plasticity, and in learning and memory. Finally, the book discusses disorders of sleep and waking, covering both lifestyle factors that cause disrupted sleep and psychiatric and neurological conditions that contribute to disorders. - Emphasizes a comparative and multidisciplinary approach to the topic of sleep - Covers the neurobiology and physiology of sleep stages, mechanisms of waking, and dreaming - Discusses in detail the proposed functions of sleep, from health and rest, to memory consolidation and synaptic plasticity - Examines the current state of research in mammalian and non-mammalian species, ranging from primates to invertebrates

The Oxford Handbook of Ethics of AI

The Oxford Handbook of Ethics of AI PDF Author: Markus Dirk Dubber
Publisher:
ISBN: 019006739X
Category : Business & Economics
Languages : en
Pages : 896

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Book Description
This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.

Dyadic Data Analysis

Dyadic Data Analysis PDF Author: David A. Kenny
Publisher: Guilford Publications
ISBN: 1462546137
Category : Psychology
Languages : en
Pages : 482

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Book Description
Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.

The Oxford Handbook of Sleep and Sleep Disorders

The Oxford Handbook of Sleep and Sleep Disorders PDF Author: Charles M. Morin
Publisher: OUP USA
ISBN: 019537620X
Category : Health & Fitness
Languages : en
Pages : 913

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Book Description
A great deal of progress has been made in the characterization assessment and treatment of sleep disorders in recent years. Detailing the functions of sleep and its effect on cognition and development, this book offers a comprehensive, practical approach to the evaluation and treatment of patients with sleep disorders.

Handbook of Mental Health and Aging

Handbook of Mental Health and Aging PDF Author: Nathan Hantke
Publisher: Academic Press
ISBN: 0128004932
Category : Psychology
Languages : en
Pages : 513

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Book Description
The Handbook of Mental Health and Aging, Third Edition provides a foundational background for practitioners and researchers to understand mental health care in older adults as presented by leading experts in the field. Wherever possible, chapters integrate research into clinical practice. The book opens with conceptual factors, such as the epidemiology of mental health disorders in aging and cultural factors that impact mental health. The book transitions into neurobiological-based topics such as biomarkers, age-related structural changes in the brain, and current models of accelerated aging in mental health. Clinical topics include dementia, neuropsychology, psychotherapy, psychopharmacology, mood disorders, anxiety, schizophrenia, sleep disorders, and substance abuse. The book closes with current and future trends in geriatric mental health, including the brain functional connectome, repetitive transcranial magnetic stimulation (rTMS), technology-based interventions, and treatment innovations. - Identifies factors influencing mental health in older adults - Includes biological, sociological, and psychological factors - Reviews epidemiology of different mental health disorders - Supplies separate chapters on grief, schizophrenia, mood, anxiety, and sleep disorders - Discusses biomarkers and genetics of mental health and aging - Provides assessment and treatment approaches

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms PDF Author: Milutinovi?, Veljko
Publisher: IGI Global
ISBN: 1799883523
Category : Computers
Languages : en
Pages : 296

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Book Description
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.