Machine learning : methods and applications to brain disorders /: methods and applications to brain disorders. (2019)

• Record Type: Book
• Further Information: Note: Edited by Andrea Mechelli, Sandra Vieira.
• Editors: Mechelli, Andrea; Vieira, Sandra
• Contents: Part I 1. Introduction to machine learning 2. Main concepts in machine learning 3. Applications of machine learning to brain disorders Part II 4. Linear regression 5. Linear methods for classification 6. Support vector machine 7. Support vector regression 8. Multiple kernel learning 9. Deep neural networks 10. Convolutional neural networks 11. Autoencoders 12. Principal component analysis 13. K-means clustering Part III 14. Dealing with missing data, small sample sizes, and heterogeneity 15. Working with high dimensional feature spaces: the example of voxel-wise encoding models 16. Multimodal integration 17. Bias, noise and interpretability in machine learning: from measurements to features 18. Ethical issues in the application of machine learning to brain disorders Part IV 19. A step-by-step tutorial on how to build a machine learning model
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2019
• Extent: 1 online resource
• Subjects: 616.800285631; Brain -- Diseases -- Treatment; Brain -- Wounds and injuries -- Treatment; Machine learning; Neurosciences -- Technological innovations; Neurotechnology (Bioengineering); Medical informatics
• Languages: English
• ISBNs: 9780128157404
• Related ISBNs: 9780128157398
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.