How Machine Learning Can Detect Social Anxiety Disorder? Using Connectivity and Graph Theory Measures Effectively!
Social anxiety disorder (SAD) is a serious concern for medical practitioners worldwide. Identifying its severity level (severe, moderate, mild, or none) can be challenging, which is why this paper proposes a solution. The researchers developed a method that classifies SAD severity levels using the patterns of brain information flow and graphical network structures, analyzed via […]
