Accomplishments

Brain Damage Detection using Machine learning approach
Category
Articles
Authors
Publisher
Neuroquantology
Publishing Date
01-Sep-2022
volume
20
Issue
10
Pages
2818-2824|
- Abstract
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Mild traumatic brain injury is a common cause for hospitalization and is linked to severe long-term morbidity. We investigated a group of 800 people who had MTBI. In the acute phase, magnetic resonance images and cognitive tests were employed. On analysis, 300 participants had anomalies, 30 of which were clearly traumatic. In the acute stage, there was a modest connection with impaired neuropsychological tests for attention. There was no meaningful relationship between the data and the parameters. Although non-specific anomalies are common, traditional MRI methods are ineffective in detecting individuals with MTBI who really are likely to recover slowly.