Machine Learning: A Comprehensive Guide to Applications in Brain Disorders

Machine Learning is a rapidly evolving field of artificial intelligence that focuses on developing algorithms capable of identifying trends and patterns within existing data. These insights can then be utilized to make predictions on new, unseen data. In recent years, researchers and clinicians have increasingly turned to machine learning methods to develop and validate diagnostic and treatment tools for patients suffering from brain disorders, encompassing both psychiatric and neurological conditions.

Machine Learning: Methods and Applications to Brain Disorders, authored by Andrea Mechelli, provides a timely and comprehensive overview of how these cutting-edge methods can be applied to brain disorders. This book serves as an invaluable resource for a broad audience, including neuroscientists, psychologists, psychiatrists, neurologists, and healthcare practitioners, offering a non-technical introduction to the complex world of machine learning and its applications in the field of brain disorders.

The book delves into the most commonly employed machine learning algorithms, shedding light on their underlying principles and practical applications. Furthermore, it explores novel and promising approaches that are set to revolutionize the field. A significant portion of the book is dedicated to addressing the methodological challenges inherent in applying machine learning to brain disorders, providing readers with a nuanced understanding of the potential pitfalls and opportunities that this approach presents.

One of the standout features of Machine Learning: Methods and Applications to Brain Disorders is its inclusion of a step-by-step tutorial on implementing a machine learning pipeline to neuroimaging data using Python. This practical guide enables readers to gain hands-on experience with the techniques and algorithms discussed throughout the book, empowering them to integrate machine learning into their own research and clinical practices.

Published by Elsevier Science in November 2019, Machine Learning: Methods and Applications to Brain Disorders is an indispensable resource for anyone seeking to harness the power of machine learning to advance our understanding and treatment of brain disorders. With its clear, non-technical prose and comprehensive coverage of this rapidly evolving field, this book is poised to become a seminal work in the intersection of machine learning and neuroscience.