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Bio-inspired algorithms and devices for treatment of cognitive diseases using future technologies / Shweta Gupta, editor. — 1 online resource — <URL:http://elib.fa.ru/ebsco/3186303.pdf>.Дата создания записи: 12.10.2021 Тематика: Brain Diseases — diagnosis; Cognition Disorders — diagnosis; Algorithms; Algorithmes.; algorithms.; Brain — Diseases — Diagnosis — Technological innovations.; Brain — Diseases — Treatment — Technological innovations.; Artificial intelligence — Medical applications.; Computer algorithms. Коллекции: EBSCO Разрешенные действия: –
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Группа: Анонимные пользователи Сеть: Интернет |
Аннотация
"This book will discuss new tools for early detection of Cognitive Brain Diseases like Depression , Epilepsy , Parkinson's Disease etc. using devices and algorithms whose basic concept is taken from nature in the absence of available proper medical tests, highlighting design , analysis and application of various bionics or bio-inspired based Algorithms or devices that would predict various Cognitive diseases or brain diseases, beforehand through medical tests"--.
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| Локальная сеть Финуниверситета | Все |
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Оглавление
- Cover
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Foreword
- Preface
- Acknowledgment
- Chapter 1: Bio-Inspired Algorithms
- Chapter 2: The Human Brain
- Chapter 3: Introduction to Different Kinds of Cognitive Disorders
- Chapter 4: A Brief Discussion on Acute Disseminated Encephalomyelitis (ADEM) and Agenesis of the Corpus Callosum (ACC)
- Chapter 5: A Brief Discussion on Depression, Schizophrenia, and Obsessive Compulsive Disorder
- Chapter 6: Parkinson's Disease
- Chapter 7: Neuropsychological and Cognitive Control Deficits in Depression
- Chapter 8: Characterising Attention Deficit Hyperactivity Disorder
- Chapter 9: Artificial Intelligence in the Detection of Alzheimer's Disease
- Chapter 10: The Influence of Artificial Intelligence on People With Autism Spectrum Disorder
- Chapter 11: Artificial Intelligence, Machine Learning, and Internet of Drones in Medical Applications
- Chapter 12: Application of Aerodynamic Shock Wave in Medical Treatment
- Chapter 13: Diagnostic Categorization and Neurocognitive Prediction Employing Neuroimaging Data Using Deep Learning in Alzheimer's Illness
- Chapter 14: An Industry Internet of Things Framework for Epilepsy Detection, Monitoring, and Control
- Chapter 15: Quantum AI and IoT Cognitive Disease Data Security to Evade Quantum Computing Attacks
- Compilation of References
- About the Contributors
- Index
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