Machine Learning for Brain Disorders

• Diğer Yazarlar: Colliot, Olivier (Editör)
• Materyal Türü: Elektronik Kitap Bölümü
• Dil: İngilizce
• Baskı/Yayın Bilgisi: New York Springer Nature 2023
• Seri Bilgileri: Neuromethods 197
• Konular: Neurosciences; machine learning; deep learning; brain disorders; neurology; psychiatry; data science; neural networks; statistical learning; neuroimaging; clinical data; biomarkers; omics; electronic health records; mobile devices
• Online Erişim: OAPEN Library: download the publication; OAPEN Library: description of the publication

Özet

This Open Access volume provides readers with an up-to-date and comprehensive guide to both methodological and applicative aspects of machine learning (ML) for brain disorders. The chapters in this book are organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting, Machine Learning for Brain Disorders is a valuable resource for researchers and graduate students who are new to this field, as well as experienced researchers who would like to further expand their knowledge in this area. This book will be useful to students and researchers from various backgrounds such as engineers, computer scientists, neurologists, psychiatrists, radiologists, and neuroscientists.

Fiziksel Özellikler

1 electronic resource (1047 p.)

ISBN

978-1-0716-3195-9
9781071631959
9781071631942

Erişim

Open Access