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Machine Learning: Methods and Applications to Brain Disorders

Machine Learning: Methods and Applications to Brain Disorders

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ISBN

9780128157398, 9780128157404

Authors

Publisher

Elsevier

Published Date

2020

Language

‎English

Page Count

1428

Size

8 MB

by Andrea Mechelli (Author) 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 Product Details Publisher: Elsevier Science; November 14, 2019 Language: English ISBN: 9780128157398 ISBN: 9780128157404

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