Research Article
Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis
Table 1
Demographic and clinical features of patients with acute mTBI and healthy controls.
| | mTBI | Healthy controls | value | value |
| Age, years | | | -0.442 | 0.66 | Sex (male, female) | 24 (15, 9) | 24 (13, 11) | 0.343 | 0.558 | Education, years | | | 0.330 | 0.743 | Postinjury, days | | N/A | N/A | N/A | GCS | | N/A | N/A | N/A | DRS | | N/A | N/A | N/A | MAS | | N/A | N/A | N/A | ABS | | N/A | N/A | N/A | HAMA | | | 5.077 | <0.001 | MMSE | | | -2.284 | 0.03 | ADL | | | 4.654 | <0.001 | BDI | | | 3.808 | 0.001 |
|
|