Improving Diagnosis, Treatment, and Prognosis of Neuropsychiatric Disorders by Leveraging Neuroimaging-based Machine Learning PDF Download
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Author: Baojuan Li
Publisher: Frontiers Media SA
ISBN: 2889760960
Category : Science
Languages : en
Pages : 288
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Book Description
Author: Baojuan Li
Publisher: Frontiers Media SA
ISBN: 2889760960
Category : Science
Languages : en
Pages : 288
Get Book Here
Book Description
Author: Willem Bruin
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
"Diagnosis in psychiatry relies on the subjective assessment of symptoms, both reported by patients and observed by clinicians. This purely symptom-based classification has its limitations. Patients with the same diagnosis express different symptoms, and there is considerable overlap in symptoms across different mental disorders, leading to the possibility of over- or misdiagnosis. Moreover, these diagnoses tell us little about the individual patient, as treatment guidelines tend to follow a one-size-fits-all approach that may not be effective for every patient, resulting in delayed or ineffective treatment for some. To address these issues, there has been a shift towards more objective approaches to diagnosis and personalized treatment in psychiatry . An important means to this end is the search for objective biomarkers , which are measurable characteristics that indicate normal (neuro)biological processes or responses to therapeutic intervention. These biomarkers could help clinicians make more evidence-based decisions that are tailored to individual patients, potentially leading to more efficient and effective psychiatric care. The aim of this thesis was to investigate whether machine learning techniques could be used to find generalizable biomarkers for various psychiatric disorders. We used neuroimaging data to develop diagnostic biomarkers for OCD, (trans)diagnostic biomarkers for anxiety disorders in juveniles, and biomarkers predictive for ECT treatment outcome in patients with depression. This thesis showed that machine learning techniques can be applied to predict diagnosis and treatment outcome with variable success. Future studies should carefully consider sources of heterogeneity to facilitate the development of more accurate and clinically relevant biomarkers, ultimately improving psychiatric care."--
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
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: 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.
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: 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.
Author: Kenneth L. Davis
Publisher: Lippincott Williams & Wilkins
ISBN: 9780781728379
Category : Medical
Languages : en
Pages : 1964
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Book Description
Thoroughly updated and completely reorganized for a sharper clinical focus, the Fifth Edition of this world-renowned classic synthesizes the latest advances in basic neurobiology, biological psychiatry, and clinical neuropsychopharmacology. The book establishes a critical bridge connecting new discoveries in molecular and cellular biology, genetics, and neuroimaging with the etiology, diagnosis, and treatment of all neuropsychiatric disorders. Nine sections focus on specific groups of disorders, covering clinical course, genetics, neurobiology, neuroimaging, and current and emerging therapeutics. Four sections cover neurotransmitter and signal transduction, emerging methods in molecular biology and genetics, emerging imaging technologies and their psychiatric applications, and drug discovery and evaluation. Compatibility: BlackBerry(R) OS 4.1 or Higher / iPhone/iPod Touch 2.0 or Higher /Palm OS 3.5 or higher / Palm Pre Classic / Symbian S60, 3rd edition (Nokia) / Windows Mobile(TM) Pocket PC (all versions) / Windows Mobile Smartphone / Windows 98SE/2000/ME/XP/Vista/Tablet PC
Author: Martha E. Shenton
Publisher: Cambridge University Press
ISBN: 1139493698
Category : Medical
Languages : en
Pages : 591
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Book Description
An informative and comprehensive review from the leading researchers in the field, this book provides a complete one-stop guide to neuroimaging techniques and their application to a wide range of neuropsychiatric disorders. For each disorder or group of disorders, separate chapters review the most up-to-date findings from structural imaging, functional imaging and/or molecular imaging. Each section ends with an overview from a internationally-renowned luminary in the field, addressing the question of 'What do we know and where are we going?' Richly illustrated throughout, each chapter includes a 'summary box', providing readers with explicit take-home messages. This is an essential resource for clinicians, researchers and trainees who want to learn how neuroimaging tools lead to new discoveries about brain and behaviour associations in neuropsychiatric disorders.
Author: David D. Luxton
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 309
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Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings
