Early Detection of Neurological Disorders Using Machine Learning Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Early Detection of Neurological Disorders Using Machine Learning Systems write by Paul, Sudip. This book was released on 2019-06-28. Early Detection of Neurological Disorders Using Machine Learning Systems available in PDF, EPUB and Kindle. While doctors and physicians are more than capable of detecting diseases of the brain, the most agile human mind cannot compete with the processing power of modern technology. Utilizing algorithmic systems in healthcare in this way may provide a way to treat neurological diseases before they happen. Early Detection of Neurological Disorders Using Machine Learning Systems provides innovative insights into implementing smart systems to detect neurological diseases at a faster rate than by normal means. The topics included in this book are artificial intelligence, data analysis, and biomedical informatics. It is designed for clinicians, doctors, neurologists, physiotherapists, neurorehabilitation specialists, scholars, academics, and students interested in topics centered on biomedical engineering, bio-electronics, medical electronics, physiology, neurosciences, life sciences, and physics.
Artificial Intelligence for Neurological Disorders
Artificial Intelligence for Neurological Disorders - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence for Neurological Disorders write by Ajith Abraham. This book was released on 2022-09-23. Artificial Intelligence for Neurological Disorders available in PDF, EPUB and Kindle. 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
Handbook of Decision Support Systems for Neurological Disorders
Handbook of Decision Support Systems for Neurological Disorders - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Decision Support Systems for Neurological Disorders write by Hemanth D. Jude. This book was released on 2021-03-30. Handbook of Decision Support Systems for Neurological Disorders available in PDF, EPUB and Kindle. Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson’s and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer’s disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence
Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence write by Anitha S. Pillai. This book was released on 2022-02-23. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence available in PDF, EPUB and Kindle. Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence focuses on how the neurosciences can benefit from advances in AI, especially in areas such as medical image analysis for the improved diagnosis of Alzheimer’s disease, early detection of acute neurologic events, prediction of stroke, medical image segmentation for quantitative evaluation of neuroanatomy and vasculature, diagnosis of Alzheimer’s Disease, autism spectrum disorder, and other key neurological disorders. Chapters also focus on how AI can help in predicting stroke recovery, and the use of Machine Learning and AI in personalizing stroke rehabilitation therapy. Other sections delve into Epilepsy and the use of Machine Learning techniques to detect epileptogenic lesions on MRIs and how to understand neural networks. Provides readers with an understanding on the key applications of artificial intelligence and machine learning in the diagnosis and treatment of the most important neurological disorders Integrates recent advancements of artificial intelligence and machine learning to the evaluation of large amounts of clinical data for the early detection of disorders such as Alzheimer’s Disease, autism spectrum disorder, Multiple Sclerosis, headache disorder, Epilepsy, and stroke Provides readers with illustrative examples of how artificial intelligence can be applied to outcome prediction, neurorehabilitation and clinical exams, including a wide range of case studies in predicting and classifying neurological disorders
Application of Artificial Intelligence in Neurological Disorders
Application of Artificial Intelligence in Neurological Disorders - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Artificial Intelligence in Neurological Disorders write by Mullaicharam Bhupathyraaj. This book was released on . Application of Artificial Intelligence in Neurological Disorders available in PDF, EPUB and Kindle.
