"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.

• 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