Early detection of neurological disorders using machine learning systems

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	Table	Card	RUSMARC

Title:	Advances in medical technologies and clinical practice book series. Early detection of neurological disorders using machine learning systems
Other creators:	Paul Sudip; Bhattacharya Pallab; Bit Arindam
Collection:	Электронные книги зарубежных издательств; Общая коллекция
Subjects:	Nervous system — Diseases — Diagnosis.; Machine learning.; Diagnosis — Data processing.; Nervous System Diseases — diagnosis.; Diagnosis, Computer-Assisted.; Big Data.; HEALTH & FITNESS / Diseases / General; MEDICAL / Clinical Medicine; MEDICAL / Diseases; MEDICAL / Evidence-Based Medicine; MEDICAL / Internal Medicine; EBSCO eBooks
Document type:	Other
File type:	PDF
Language:	English
Rights:	Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key:	on1103605949

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Network: Internet

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"This book examines the role of machine learning systems in the detection of neurological disorders such as Alzheimer disease, Parkinson's disease, schizophrenia, and depression"--Provided by publisher.

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Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: Mapping the Intellectual Structure of the Field Neurological Disorders
Chapter 2: Neurofeedback
Chapter 3: Neurological Disorders, Rehabilitation, and Associated Technologies
Chapter 4: Brain Tumor and Its Segmentation From Brain MRI Sequences
Chapter 5: Early Detection of Parkinson's Disease
Chapter 6: Soft Computing-Based Early Detection of Parkinson's Disease Using Non-Invasive Method Based on Speech Analysis
Chapter 7: Assessment of Gait Disorder in Parkinson's Disease
Chapter 8: Tremor Identification Using Machine Learning in Parkinson's Disease
Chapter 9: Epileptic Seizure Detection and Classification Using Machine Learning
Chapter 10: Neurocognitive Mechanisms for Detecting Early Phase of Depressive Disorder
Chapter 11: Social Media Analytics to Predict Depression Level in the Users
Chapter 12: Linguistic Markers in Individuals With Symptoms of Depression in Bi-Multilingual Context
Chapter 13: Motor Imagery Classification Using EEG Signals for Brain-Computer Interface Applications
Chapter 14: Intelligent Big Data Analytics in Health
Chapter 15: Medical Image Segmentation
Compilation of References
About the Contributors
Index

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