Artificial intelligence for neurological disorders. (2022)

• Record Type: Book
• Further Information: Note: Edited by Ajith Abraham, Sujata Dash, Subhendu Kumar Pani, Laura García-Hernández.
• Editors: Abraham, Ajith, 1968-; Dash, Sujata, 1964-; Pani, Subhendu Kumar, 1980-; García Hernández, Laura
• Contents: 1. Early detection of neurological diseases using machine learning and deep learning techniques: A review; 2. A predictive method for emotional sentiment analysis by deep learning from EEG of brainwave data; 3. Machine learning and deep learning models for early-stage detection of Alzheimer's disease and its proliferation in human brain; 4. Recurrent neural network model for identifying epilepsy based neurological auditory disorder; 5. Recurrent neural network model for identifying neurological auditory disorder; 6. Dementia diagnosis with EEG using machine learning; 7. Computational methods for translational brain-behavior analysis; 8. Clinical applications of deep learning in neurology and its enhancements with future directions; 9. Ensemble sparse intelligent mining techniques for cognitive disease; 10. Cognitive therapy for brain diseases using deep learning models; 11. Cognitive therapy for brain diseases using artificial intelligence models; 12. Clinical applications of deep learning in neurology and its enhancements with future predictions; 13. An intelligent diagnostic approach for epileptic seizure detection and classification using machine learning; 14. Neural signaling and communication using machine learning; 15. Classification of neurodegenerative disorders using machine learning techniques; 16. New trends in deep learning for neuroimaging analysis and disease prediction; 17. Prevention and diagnosis of neurodegenerative diseases using machine learning models; 18. Artificial intelligence-based early detection of neurological disease using noninvasive method based on speech analysis; 19. An insight into applications of deep learning in neuroimaging; 20. Incremental variance learning-based ensemble classification model for neurological disorders; 21. Early detection of Parkinsons disease using adaptive machine learning techniques: A review; 22. Convolutional neural network model for identifying neurological visual disorder
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white, and colour)
• Subjects: 616.80028563; Nervous system -- Diseases -- Treatment -- Data processing; Artificial intelligence -- Medical applications
• Languages: English
• ISBNs: 9780323902786
• Related ISBNs: 9780323902779
• Notes: Note: Description based on CIP data; resource not viewed.
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