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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Hlavní autoři: Abraham, Ajith, Dash, Sujata, Pani, Subhendu Kumar, García-Hernández, Laura
Médium: E-kniha
Jazyk:angličtina
Vydáno: Chantilly Elsevier Science & Technology 2022
Academic Press
Vydání:1
Témata:
Artificial intelligence
Nervous system
Nervous system-Diseases-Treatment
ISBN:0323902774, 9780323902779
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Shrnutí: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.
ISBN:0323902774
9780323902779
DOI:10.1016/C2020-0-03449-3