Author : Xiaozheng Liu
Publisher : Frontiers Media SA
Page : 124 pages
File Size : 27,53 MB
Release : 2023-06-27
Category : Medical
ISBN : 2832526985
Author : Andrea Mechelli
Publisher : Academic Press
Page : 412 pages
File Size : 37,64 MB
Release : 2019-11-14
Category : Medical
ISBN : 0128157402
Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners. - Provides a non-technical introduction to machine learning and applications to brain disorders - Includes a detailed description of the most commonly used machine learning algorithms as well as some novel and promising approaches - Covers the main methodological challenges in the application of machine learning to brain disorders - Provides a step-by-step tutorial for implementing a machine learning pipeline to neuroimaging data in Python
Author : Virginia Ng
Publisher : IOS Press
Page : 268 pages
File Size : 50,6 MB
Release : 2003
Category :
ISBN : 9781586033446
Author : Ahmed Moustafa
Publisher : Academic Press
Page : 386 pages
File Size : 44,95 MB
Release : 2021-06-11
Category : Medical
ISBN : 0128230029
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 : Aidan G. C. Wright
Publisher : Cambridge University Press
Page : 600 pages
File Size : 48,97 MB
Release : 2020-03-31
Category : Psychology
ISBN : 9781316639528
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.
Author : Judith Pratt
Publisher : Springer
Page : 431 pages
File Size : 49,97 MB
Release : 2019-01-05
Category : Medical
ISBN : 3319996428
This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.
Author : Sudhakar Selvaraj
Publisher :
Page : pages
File Size : 31,95 MB
Release : 2020
Category : Affective disorders
ISBN : 9781108623018
"Mood disorders are the most common mental illnesses with a lifetime prevalence of up to 20% worldwide 1. Major depressive disorder (MDD) and Bipolar Disorder (BD) are significant health problems in the US and worldwide 2. In the United States alone, the lifetime prevalence of MDD is up to 17%, and that of BD about 2.1% 2 that can go up to 4% of individuals with mood episodes not meeting episodic criteria are included. Both are chronic and recurrent illnesses characterized by recurrent episodes of depression and mania and depression in MDD and BD respectively"--
Author : Leanne M. Williams, Ph.D.
Publisher : American Psychiatric Pub
Page : 302 pages
File Size : 47,2 MB
Release : 2021-10-15
Category : Medical
ISBN : 1615371583
Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.
Author : Eric Murillo-Rodriguez
Publisher : Academic Press
Page : 308 pages
File Size : 42,72 MB
Release : 2021-10-09
Category : Medical
ISBN : 0323903347
Methodological Approaches for Sleep and Vigilance Research examines experimental procedures used to study the sleep-wake cycle, with topics covered by world leaders in the field. The book focuses on techniques commonly used in the sleep field, including polysomnography, electrophysiology, single- and multi-unit spiking activity recording, brain stimulation, EEG power spectra, optogenetics, telemetry, and wearable and non-wearable tracking devices. Further chapters on imaging techniques, questionnaires for sleep assessment, genome-wide association studies, artificial intelligence and big data are also featured. This discussion of significant conceptual advances into experimental procedures is suitable for anyone interested in the neurobiology of sleep. - Discusses current sleep research methodologies for experienced scientists - Focuses on techniques that allow measurement or assessment for the sleep-wake cycle - Outlines mainstream research techniques and experimental characteristics of their uses - Includes polysomnography, deep brain stimulation, and more - Reviews sleep-tracking devices, EEG and telemetry - Covers artificial intelligence and big data in analysis
Author : Diogo Telles Correia
Publisher : Frontiers Media SA
Page : 62 pages
File Size : 45,74 MB
Release : 2016-08-12
Category : Psychology
ISBN : 2889199339
New advances of the neuroscience supported by a refined, reliable and valid phenotyping (e.g., at the level of symptoms and not at the level of disorders), are bringing some promising results. The mapping of clinical phenomenology on specific brain dysfunction is now becoming plausible and the resulting functional psychopathology may in the future significantly replace the present nosology (Jablensky, 2010). Nevertheless, as Andreasen (2007) points out: “Applying technology without companionship of wise clinicians with specific expertise in psychopathology will be a lonely, sterile and perhaps fruitless enterprise.” Some of the chapters of this Ebook deal with aspects which are essential to the historical understanding of mental symptoms and disorders.
