Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis

<div>Schematic diagram overview of machine learning classification framework. Note: this figure shows the classification of the combination of ALFF, fALFF, DC, VMHC, and short-term FCD in distinguishing the mTBI from the normal controls. The classification received the highest (a) AUC value, (b) classification accuracy, (c) sensitivity, and (d) specificity among all combination.</div>

Disease Markers

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Figure 1

Figure 1: Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis 