Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning

Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning PDF Author: Baojuan Li
Publisher: Frontiers Media SA
ISBN: 2889760960
Category : Science
Languages : en
Pages : 288

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Book Description

Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning

Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning PDF Author: Baojuan Li
Publisher: Frontiers Media SA
ISBN: 2889760960
Category : Science
Languages : en
Pages : 288

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Book Description


Big Data in Psychiatry and Neurology

Big Data in Psychiatry and Neurology PDF 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

Connectomics in NeuroImaging

Connectomics in NeuroImaging PDF Author: Guorong Wu
Publisher: Springer
ISBN: 3030007553
Category : Computers
Languages : en
Pages : 147

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Book Description
This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 15 full papers presented were carefully reviewed and selected from 20 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications.

Personalized Psychiatry

Personalized Psychiatry PDF Author: Bernhard Baune
Publisher: Academic Press
ISBN: 0128131772
Category : Medical
Languages : en
Pages : 604

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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

Mood Disorders

Mood Disorders PDF Author: Sudhakar Selvaraj
Publisher: Cambridge University Press
ISBN: 110842712X
Category : Medical
Languages : en
Pages : 295

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Book Description
Offering up-to-date information on brain imaging in mood disorders, this book is an invaluable resource for mental health professionals.

Neuroimaging in Psychiatry

Neuroimaging in Psychiatry PDF Author: Cynthia H. Y. Fu
Publisher: CRC Press
ISBN: 9781135414009
Category : Medical
Languages : en
Pages : 0

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Book Description
New neuroimaging techniques are developing at a break neck pace-every academic journal contains glossy pictures of brain activity corresponding to a particular task emblazoned in glorious technicolor. Discoveries about brain function in psychiatric disorders have been made at an equally rapid rate. However, most books on the subject have been written from a technical point of view. An introductory, easy-to-read guide, Neuroimaging in Psychiatry provides an overview and the clinical relevance of the latest neuroimaging findings. With contributions from an international panel of experts, this book reviews current findings from neuroimaging in schizophrenia, obsessive-compulsive disorder, depression, eating disorders, psychopathy, aging, and drug addiction. Chapter authors explore innovative and imaginative uses of neuro imaging technology, implications for our understanding of these disorders, and their impact on clinical practice. The book gives you a general overview of the main techniques to help you successfully complete a neuroimaging project.

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Examining the Impact of Deep Learning and IoT on Multi-Industry Applications PDF Author: Raut, Roshani
Publisher: IGI Global
ISBN: 1799875172
Category : Computers
Languages : en
Pages : 304

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Book Description
Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers’ points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.

Neuroimaging in Schizophrenia

Neuroimaging in Schizophrenia PDF 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.

Reliability and Reproducibility in Functional Connectomics

Reliability and Reproducibility in Functional Connectomics PDF Author: Xi-Nian Zuo
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.

Positive Psychiatry

Positive Psychiatry PDF Author: Edited by Dilip V. Jeste M.D.
Publisher: American Psychiatric Pub
ISBN: 1585624950
Category : Medical
Languages : en
Pages : 388

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Book Description
While there are a number of books on positive psychology, Positive Psychiatry is unique in its biological foundation and medical rigor and is the only book designed to bring positive mental health ideas and interventions into mainstream psychiatric research, training, and clinical practice. After an overview describing the definition, history, and goals of positive psychiatry, the contributors—pioneers and thought leaders in the field—explore positive psychosocial factors, such as resilience and psychosocial growth; positive outcomes, such as recovery and well-being; psychotherapeutic and behavioral interventions, among others; and special topics, such as child and geriatric psychiatry, diverse populations, and bioethics. The book successfully brings the unique skill sets and methods of psychiatry to the larger positive health movement. Each chapter highlights key points for current clinical services, as practiced by psychiatrists, primary care doctors, and nurses, as well as those in allied health and mental health fields. These readers will find Positive Psychiatry to be immensely helpful in bringing positive mental health concepts and interventions into the clinical arena.