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Artificial Intelligence for Neurological Disorders

Paperback Engels 2022 9780323902779
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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.

Specificaties

ISBN13:9780323902779
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

1. Early detection of neurological diseases using machine learning and deep learning techniques: A review<br>2. A predictive method for emotional sentiment analysis by deep learning from EEG of brainwave data<br>3. Machine learning and deep learning models for early-stage detection of Alzheimer's disease and its proliferation in human brain<br>4. Recurrent neural network model for identifying epilepsy based neurological auditory disorder<br>5. Recurrent neural network model for identifying neurological auditory disorder<br>6. Dementia diagnosis with EEG using machine learning<br>7. Computational methods for translational brain-behavior analysis<br>8. Clinical applications of deep learning in neurology and its enhancements with future directions<br>9. Ensemble sparse intelligent mining techniques for cognitive disease<br>10. Cognitive therapy for brain diseases using deep learning models<br>11. Cognitive therapy for brain diseases using artificial intelligence models<br>12. Clinical applications of deep learning in neurology and its enhancements with future predictions<br>13. An intelligent diagnostic approach for epileptic seizure detection and classification using machine learning<br>14. Neural signaling and communication using machine learning<br>15. Classification of neurodegenerative disorders using machine learning techniques<br>16. New trends in deep learning for neuroimaging analysis and disease prediction<br>17. Prevention and diagnosis of neurodegenerative diseases using machine learning models<br>18. Artificial intelligence-based early detection of neurological disease using noninvasive method based on speech analysis<br>19. An insight into applications of deep learning in neuroimaging<br>20. Incremental variance learning-based ensemble classification model for neurological disorders<br>21. Early detection of Parkinsons disease using adaptive machine learning techniques: A review<br>22. Convolutional neural network model for identifying neurological visual disorder<br>

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€ 211,00
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        Artificial Intelligence for Neurological Disorders