Machine learning as a new tool in neurological disease prevention, diagnosis, and treatment
More than 600 different neurological diseases affect the human population. Some of these are genetic and can emerge even before birth, and some are caused by defects, infections, trauma, degeneration, inflammation, and cancer. However, they all share disabilities caused by damage to the nervous syst...
Main Author: | Cinzia Volonté |
---|---|
Format: | Article |
Language: | English |
Published: |
Open Exploration Publishing Inc.
2023-02-01
|
Series: | Exploration of Neuroprotective Therapy |
Subjects: | |
Online Access: | https://www.explorationpub.com/Journals/ent/Article/100434 |
Similar Items
-
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
by: Chellammal Surianarayanan, et al.
Published: (2023-03-01) -
Early prediction of patient discharge disposition in acute neurological care using machine learning
by: Charles F. Mickle, et al.
Published: (2022-10-01) -
Current diagnosis & treatment in neurology /
by: Brust, John C. M. (John Calvin M.), 1936-
Published: (2006) -
Clinical neurology/
by: Scadding, John W., et al.
Published: (2012) -
Clinical neurology /
by: 294309 Hankey, Graeme J., et al.
Published: (2008)