Handbook of Decision Support Systems for Neurological Disorders

Virtual reality Screening Community Rehabilitation Classification Dementia Dyslexia Emotional intelligence Data processing Machine learning Dysarthria Disabilities Motor Neuron Disease Public health Speech therapy Cognitive disorders Neuroimaging cognitive development Mild cognitive impairment Autism spectrum disorder Alzheimer's disease Artificial intelligence Emotion recognition Medical Image Processing Image segmentation CAD System Serious games Display MR imaging Predictive analysis Convolutional Neural Networks Decision tree Cancer Detection Stroke Diagnosis Sensor Clustering Convolutional Neural Network Ann Support Vector Machine Segmentation Harmony Search Unity3D Psychiatric disorder Fine motor skills Ischemic stroke Particle swarm optimization Electroencephalogram (EEG) signals MRI Genetic algorithm Deep learning: EEG Neurological Disorders Simulated annealing Posterior Fossa Assistive technology Brain imaging Rehabilitation Therapy Alzhemier's disease Anisotropic Diffusion Filter Alternative communication devices Assistive Device Augmentative communication devices brain metastases Cancerous tumors Brain tissues Electromagnetism-like optimization Cheek movement DEAP dataset Feature-based methods Computed tomography (CT)Decision support system Image similarity indices Ischemic stroke detection Metaheuristic Markov random field segmentation Fuzzy cognitive maps (FCM)Fuzzy logic systems Rician noise Leap Motion Controller Software Technology Speech impaired Multiview decision tree Skull stripping