Artificial intelligence for neurological disorders /
Artificial intelligence for neurological disorders /
Ajith Abraham, Sujata Dash, Subhendu Kumar Pani, Laura Garcia-Hernandez editors
- London, United Kingdom : Academic Press, [2023]
- xxix, 401 pages : illustrations (some color)
Includes bibliographical references and index
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.
9780323902779
Nervous system--Diseases--Treatment--Data processing
Artificial intelligence--Medical applications
Artificial intelligence
Nervous System Diseases
616.80028563 / ABR
Includes bibliographical references and index
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.
9780323902779
Nervous system--Diseases--Treatment--Data processing
Artificial intelligence--Medical applications
Artificial intelligence
Nervous System Diseases
616.80028563 / ABR