Early detection of neurological disorders using machine learning systems
"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.
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
Medical Information Science Reference,
[2019]
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| Series: | Advances in medical technologies and clinical practice book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Epileptic seizure detection and classification using machine learning
- Rekh Janghel, Yogesh Rathore, Gautam Tiparti
- A study on basal ganglia circuit and its relation with movement disorders / Ankita Tiwari, Raghuvendra Tripathi, Dinesh Bhatia
- Social media analytics to predict depression level in the users / Mohammad Shahid Husain
- Tremor identification using machine learning in Parkinson's disease
- Angana Saikia, Vinayak Majhi, Masaraf Hussain, Sudip Paul, Amitava Datta
- Soft computing based early detection of Parkinson's disease using non-invasive method based on speech analysis / Chandrasekar Ravi
- Neurofeedback -retrain the brain / Meena Gupta, Dinesh Bhatia
- Neurocognitive mechanisms for detecting early phase of depressive disorder analysis of event related potentials in human brain / Shashikanta Tarai
- Intelligent big data analytics in health : big data analytics in health / Ebru Bayrak, Pinar Kirci
- Motor imagery classification using EEG signals for brain computer interface applications / Subrota Mazumdar, Rohit Chaudharya, Suruchi Suruchi, Suman Mohanty, Divya Kumari, Aleena Swetapadma
- Mapping the intellectual structure of the field neurological disorders : a bibliometric analysis / S. Ravikmar
- Medical image segmentation an advanced approach / Ramgopal Kashyapdia.