A novel approach to anxiety level prediction using small sets of judgment and survey variables
Sumra Bari,
Byoung-Woo Kim,
Nicole L. Vike
et al.
Abstract:Anxiety, a condition characterized by intense fear and persistent worry, affects millions each year and, when severe, is distressing and functionally impairing. Numerous machine learning frameworks have been developed and tested to predict features of anxiety and anxiety traits. This study extended these approaches by using a small set of interpretable judgment variables (n = 15) and contextual variables (demographics, perceived loneliness, COVID-19 history) to (1) understand the relationships between these va… Show more
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