Artificial intelligence for neurological disorders /
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,...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
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London, United Kingdom :
Academic Press,
[2023]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Physical Description: | 1 online resource (xxix, 401 pages) : illustrations (some color). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9780323902786 0323902782 |