Handbook of AI and Data Sciences for Sleep Disorders
Handbook of AI and Data Sciences for Sleep Disorders

Author: Richard B. Berry

Publisher: Springer

Published: 2024-10-31

Total Pages: 0

ISBN-13: 9783031682629

DOWNLOAD EBOOK

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.

Advancing the Investigation and Treatment of Sleep Disorders Using AI
Advancing the Investigation and Treatment of Sleep Disorders Using AI

Author: Kumar, M. Rajesh

Publisher: IGI Global

Published: 2021-06-25

Total Pages: 290

ISBN-13: 1799880192

DOWNLOAD EBOOK

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

Author: Henri Korkalainen

Publisher: Frontiers Media SA

Published: 2024-03-13

Total Pages: 234

ISBN-13: 2832545149

DOWNLOAD EBOOK

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.

The Palgrave Handbook of Malicious Use of AI and Psychological Security
The Palgrave Handbook of Malicious Use of AI and Psychological Security

Author: Evgeny Pashentsev

Publisher: Springer Nature

Published: 2023-06-09

Total Pages: 711

ISBN-13: 303122552X

DOWNLOAD EBOOK

This handbook focuses on new threats to psychological security that are posed by the malicious use of AI and how it can be used to counteract such threats. Studies on the malicious use of AI through deepfakes, agenda setting, sentiment analysis and affective computing and so forth, provide a visual representation of the various forms and methods of malicious influence on the human psyche, and through this on the political, economic, cultural processes, the activities of state and non-state institutions. Separate chapters examine the malicious use of AI in geopolitical confrontation, political campaigns, strategic deception, damage to corporate reputation, and activities of extremist and terrorist organizations. This is a unique volume that brings together a multidisciplinary range of established scholars and upcoming new researchers from 11 countries. This handbook is an invaluable resource for students, researchers, and professionals interested in this new and developing field of social practice and knowledge.

Oxford Handbook of Ethics of AI
Oxford Handbook of Ethics of AI

Author: Markus D. Dubber

Publisher: Oxford University Press

Published: 2020-06-30

Total Pages: 1000

ISBN-13: 0190067411

DOWNLOAD EBOOK

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

The Oxford Handbook of Sleep and Sleep Disorders
The Oxford Handbook of Sleep and Sleep Disorders

Author: Charles M. Morin

Publisher: OUP USA

Published: 2012-03

Total Pages: 913

ISBN-13: 019537620X

DOWNLOAD EBOOK

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

Author: Nathan Hantke

Publisher: Academic Press

Published: 2020-04-11

Total Pages: 513

ISBN-13: 0128004932

DOWNLOAD EBOOK

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

Author: Milutinovi?, Veljko

Publisher: IGI Global

Published: 2022-03-11

Total Pages: 296

ISBN-13: 1799883523

DOWNLOAD EBOOK

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.

Handbook of Neurobehavioral Genetics and Phenotyping
Handbook of Neurobehavioral Genetics and Phenotyping

Author: Valter Tucci

Publisher: John Wiley & Sons

Published: 2017-03-06

Total Pages: 648

ISBN-13: 1118540719

DOWNLOAD EBOOK

The Handbook of Behavioral Genetics and Phenotyping represents an integrative approach to neurobehavioural genetics; worldwide experts in their field will review all chapters. Advanced overviews of neurobehavioural characteristics will add immense value to the investigation of animal mutants and provide unique information about the genetics and behavioural understanding of animal models, under both normal and pathological conditions. Cross-species comparisons of neurobehavioural phenotypes will pave the way for an evolutionary understanding of behaviour. Moreover, while biological sciences are progressing towards a holistic approach to investigate the complexity of organisms (i.e., “systems biology” approach), an integrated analysis of behavioural phenotyping is still lacking. The Handbook of Behavioral Genetics and Phenotyping strengthens the cross-talk within disciplines that investigate the fundamental basis of behaviour and genetics. This will be the first volume in which traditionally distant fields including genomics, behaviour, electrophysiology, neuroeconomics, and computational neuroscience, among others, are evaluated together and simultaneously accounted for during discussions of future perspectives.