Early detection of neurological disorders using machine learning systems
Título:
Early detection of neurological disorders using machine learning systems
ISBN:
9781522585688
PRODUCTION_INFO:
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [c2019]
Descripción física:
22 PDFs (xvi, 376 pages)
Contenido:
Chapter 1. Mapping the intellectual structure of the field neurological disorders: a bibliometric analysis -- Chapter 2. Neurofeedback: retrain the brain -- Chapter 3. Neurological disorders, rehabilitation, and associated technologies: an overview -- Chapter 4. Brain tumor and its segmentation from brain MRI sequences -- Chapter 5. Early detection of Parkinson's disease: an intelligent diagnostic approach -- 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: analysis of event-related potentials in human brain -- 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: an advanced approach.
Síntesis:
"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.
Acceso electrónico:
Full Text Available From IGI Global 2019 Packages
Idioma:
Inglés