Details
| 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 | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1103605949 |
| Record create date | 6/5/2019 |
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| Group | Anonymous |
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| Network | Internet |
"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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| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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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
