Machine learning: Methods and applications to brain disorders

TY - BOOK

T1 - Machine learning

T2 - Methods and applications to brain disorders

AU - Mechelli, Andrea

AU - Vieira, Sandra

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85089910901&partnerID=8YFLogxK

U2 - 10.1016/C2017-0-03724-2

DO - 10.1016/C2017-0-03724-2

M3 - Book

AN - SCOPUS:85089910901

BT - Machine learning

PB - Elsevier

ER -