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Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128230029
Category : Medical
Languages : en
Pages : 386
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Book Description
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease and Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. - Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders - Analyzes methods in using big data to treat psychiatric and neurological disorders - Describes the role machine learning can play in the analysis of big data - Demonstrates the various methods of gathering big data in medicine - Reviews how to apply big data to genetics
Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128230029
Category : Medical
Languages : en
Pages : 386
Get Book Here
Book Description
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer's disease and Parkinson's disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. - Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders - Analyzes methods in using big data to treat psychiatric and neurological disorders - Describes the role machine learning can play in the analysis of big data - Demonstrates the various methods of gathering big data in medicine - Reviews how to apply big data to genetics
Author: A. George Awad
Publisher: iUniverse
ISBN: 1663252688
Category : Biography & Autobiography
Languages : en
Pages : 193
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Book Description
This book is the second of the series about the imperatives for the search for new psychiatry. As stated in my recent 2021 book about: The Search for New Psychiatry, current psychiatric practices have failed many: patients and their families, their doctors and the society at large. That was the end of the 2021 book and the beginning of this book as a follow up in search for pathways to a new and more effective science-based practice Based on its major contributions to the recent successful and expedient development of the Covid 19 vaccines, I am proposing the same pathway of using the new revolution in informatics as the way to save and secure the future of psychiatry and that is what I am recommending in this book reaping the benefit of AI and Big Data Analytics but with a wide open eye on its limits, reliability, risks, unforeseen or unintentional harms. Part Two of the book deals with a number of perineal and also new challenges that continue to require better understanding and resolution. Among the phenomenological and nosological challenges, the recent development by Neurology of its subspeciality of Behavioral Neurology in competition to Neuropsychiatry, is reviewed in terms of an opportunity for integration of the tow subspecialities towards the creation of a new third field of “Clinical Neurosciences”. Other challenges included are: The Subjective /Objective Dichotomy, Lunacy and the Moon- reflections on the interactions of the brain and environment and Woke Psychiatry, what is it? Several other clinical challenges include: The Past is Coming Back as The Future -The Rise, Fall and Rise Again of Psychedelics, Loneliness as the silent disorder and several other challenges. At the end, a postscript has been hastily added in memory of a close friend, a pioneering psychopharmacologist but above all an empathic humanist, Professor Thomas Arthur Ban or as he always preferred, Tom.
Author: Marek Kubicki
Publisher: Springer Nature
ISBN: 3030352064
Category : Medical
Languages : en
Pages : 432
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Book Description
This comprehensive book explains the importance of imaging techniques in exploring and understanding the role of brain abnormalities in schizophrenia. The findings obtained using individual imaging modalities and their biological interpretation are reviewed in detail, and updates are provided on methodology, testable hypotheses, limitations, and new directions for research. The coverage also includes important recent applications of neuroimaging to schizophrenia, for example in relation to non-pharmacological interventions, brain development, genetics, and prediction of treatment response and outcome. Written by world renowned experts in the field, the book will be invaluable to all who wish to learn about the newest and most important developments in neuroimaging research in schizophrenia, how these developments relate to the last 30 years of research, and how they can be leveraged to bring us closer to a cure for this devastating disorder. Neuroimaging in Schizophrenia will assist clinicians in navigating what is an extremely complex field and will be a source of insight and stimulation for researchers.
Author: Theodore A. Henderson
Publisher: Frontiers Media SA
ISBN: 2889766551
Category : Medical
Languages : en
Pages : 185
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Book Description
Author: Bernhard Baune
Publisher: Academic Press
ISBN: 0128131772
Category : Medical
Languages : en
Pages : 594
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Book Description
Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. - Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics - Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry - Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective
Author: Houneida Sakly
Publisher: Springer Nature
ISBN: 3031111990
Category : Medical
Languages : en
Pages : 256
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Book Description
This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.
Author: Yong-Ku Kim
Publisher: Springer Nature
ISBN: 9813297212
Category : Science
Languages : en
Pages : 628
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Book Description
This book reviews key recent advances and new frontiers within psychiatric research and clinical practice. These advances either represent or are enabling paradigm shifts in the discipline and are influencing how we observe, derive and test hypotheses, and intervene. Progress in information technology is allowing the collection of scattered, fragmented data and the discovery of hidden meanings from stored data, and the impacts on psychiatry are fully explored. Detailed attention is also paid to the applications of artificial intelligence, machine learning, and data science technology in psychiatry and to their role in the development of new hypotheses, which in turn promise to lead to new discoveries and treatments. Emerging research methods for precision medicine are discussed, as are a variety of novel theoretical frameworks for research, such as theoretical psychiatry, the developmental approach to the definition of psychopathology, and the theory of constructed emotion. The concluding section considers novel interventions and treatment avenues, including psychobiotics, the use of neuromodulation to augment cognitive control of emotion, and the role of the telomere-telomerase system in psychopharmacological interventions.
Author: Ahmed Moustafa
Publisher: Academic Press
ISBN: 0128213353
Category : Psychology
Languages : en
Pages : 256
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Book Description
Nearly 44 million people have Alzheimer's or related dementia worldwide, according to the Alzheimer's Disease International organization. That number is expected to double every 20 years. Unlike other books on the market, Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy covers recent advancements in cognitive, clinical, neural, and therapeutic aspects of Alzheimer's and other forms of dementia.First, readers are introduced to cognitive and clinical studies, focusing on the different types of memory impairment, past and future thinking. This includes the prevalence of depression, its relationship to other symptoms, and the quality of life for those with Alzheimer's disease. In addition, the book discusses recent studies on memory dysfunction in advanced-stage Alzheimer's disease, in comparison to early-stage, including a chapter on the underlying factors in the transition from mild cognitive impairment to Alzheimer's diagnosis. Following this section, the book presents recent studies on the role of different cortical and subcortical structures in the development of various symptoms in Alzheimer's disease, as well as different neural biomarkers underlying the development and treatment of the disease. In the last section of the book, therapeutic aspects of Alzheimer's disease, focusing on behavioral and pharmacological treatments of sleep disorders, memory problems, and depression, are reviewed. The book aids readers in understanding the advances in research and care, making it a prime tool for all clinicians, psychologists, researchers, neurologists, and caregivers of dementia patients. - Reviews recent developments of cognitive and clinical studies - Covers factors underlying the transition from mild cognitive impairment to Alzheimer's disease - Discusses different neural biomarkers underlying the development and treatment of Alzheimer's disease - Provides a comparison of the effectiveness of various types of treatments
Author: Miltiadis Lytras
Publisher: Academic Press
ISBN: 0128220627
Category : Medical
Languages : en
Pages : 292
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Book Description
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
Author: David Silbersweig
Publisher: McGraw Hill Professional
ISBN: 1260117111
Category : Medical
Languages : en
Pages : 949
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Book Description
A comprehensive, full-color guide to the principles and practice of neuropsychiatry and behavioral neurology. A primary resource in the field A Doody's Core Title for 2024 & 2023! From the world-renowned experts at the Center for Brain/Mind Medicine at Brigham and Women’s Hospital and Harvard Medical School, Neuropsychiatry and Behavioral Neurology delivers authoritative, multidisciplinary information and insights for improving patient care. Chapter authors include additional worldwide academic clinician leaders from sister institutions. Covering the latest advances in cognitive, affective, and behavioral neuroscience, the text provides a practical and clearly written approach to structural and functional neuroanatomy; neuropsychiatric and behavioral neurology assessments and treatments; and neurobehavioral/neuropsychiatric syndromes and disorders. Neuropsychiatry and Behavioral Neurology includes: A definitive introductory chapter on the neuroanatomy of cognitive and behavioral neuroscience Chapters on the neurocircuitry of emotions and cognition Chapters on neuropsychiatric assessment methods and therapeutics, including pharmacology and neurostimulation modalities Chapters on neurobehavioral and neuropsychiatric syndromes, as well as on neuropsychiatric aspects of different neurological and medical diseases Numerous full-color illustrations of brain anatomy High-resolution brain CT and MRI scans Summaries and key points, patient cases, and multiple choice questions with annotated answers Evidence-based updates, combined with clinical guidance from master academic clinician Whether you’re a trainee, recent graduate, seasoned practicing clinician, or investigator interested in linking basic neuroscience research to clinical care, you’ll find everything you need to determine the neurobiological origins of alterations in emotion, cognition, and behavior; contextualize the illness to emphasize the role of underlying brain circuitry; develop informed differential diagnoses; and plan and implement the most effective treatment strategies. This text meets the curriculum requirements needed to prepare for board certification in Behavioral Neurology and Neuropsychiatry.
