Artificial Intelligence for Neurological Disorders (Paperback)

Artificial Intelligence for Neurological Disorders provides a comprehensive resource of state-of-the-art approaches for AI, big data analytics and machine learning-based neurological research. The book discusses many machine learning techniques to detect neurological diseases at the cellular level, as well as other applications such as image segmentation, classification and image indexing, neural networks and image processing methods. Chapters include AI techniques for the early detection of neurological disease and deep learning applications using brain imaging methods like EEG, MEG, fMRI, fNIRS and PET for seizure prediction or neuromuscular rehabilitation. The goal of this book is to provide readers with broad coverage of these methods to encourage an even wider adoption of AI, Machine Learning and Big Data Analytics for problem-solving and stimulating neurological research and therapy advances.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Release date:	September 2022
First published:	2023
Editors:	Ajith Abraham • Sujata Dash • Subhendu Kumar Pani • Laura Garcia-Hernandez
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	432
ISBN-13:	978-0-323-90277-9
Categories:	Books > Medicine > Clinical & internal medicine > Neurology & clinical neurophysiology Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-323-90277-4
Barcode:	9780323902779

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