Machine learning prediction of anxiety symptoms in social anxiety disorder

This study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. The results of this study can be used as evidence for personalized VR sessions and to demonstrate the strength of the clinical use of multimodal data

Anxiety · Cognitive psychology · Machine learning · Psychiatry · Social anxiety · Virtual reality · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Clinical Psychology · Computer Science · Digital Mental Health Interventions · Mental Health Research Topics · Psychology · Artificial Intelligence

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