Machine Learning: Methods and Applications to Brain Disorders

Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date reference on current research in machine learning and how these methods can be applied to clinical, psychological and neuroscientific data. This comprehensive reference book, the first of its kind, bridges the gap between methods of machine learning, both supervised and unsupervised techniques, and their applications to real-world cases. Over the past decade, the use of machine learning in the field of neuroscience has gained considerable attention, hence this book is a timely resource on its advancements and applications in patients with psychiatric and neurological conditions.

• Provides an introduction to machine learning and its applications to brain disorders
• Includes detailed descriptions of deep learning technique, including neural networks and auto-encoders
• Contains chapters on regression models, including classifications