Machine Learning

Methods and Applications to Brain Disorders

Andrea Mechelli, Sandra Vieira

• Publisher: Academic Press
• Year: 2019
• Print ISBN: 9780128157398
• eBook ISBN: 9780128157404
• Topic: Biological Sciences
• Subtopic: Neuroscience
• Index: Biological Sciences

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

Table of contents

• Cover image
• Title page
• Table of Contents
• Copyright
• Contributors
• Preface
• Part 1
• Part 2
• Part 3
• Part 4
• Glossary
• Index