Artificial Intelligence for Neurological Disorders

By: Abraham

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Paperback | 22 September 2022 | Edition Number 1

At a Glance

Paperback
432 Pages

Dimensions(cm)
22.86 x 15.24

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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.

Discusses various AI and ML methods to apply for neurological research
Explores Deep Learning techniques for brain MRI images
Covers AI techniques for the early detection of neurological diseases and seizure prediction
Examines cognitive therapies using AI and Deep Learning methods

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