Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety

WS 2019  ·  Fionn Delahunty, Robert Johansson, Mihael Arcan ·

Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year. In this work, we develop and evaluate a multilabel, multidimensional deep neural network designed to predict PHQ-4 scores based on individuals written text. Our system outperforms random baseline metrics and provides a novel approach to how we can predict psychometric scores from written text. Additionally, we explore how this architecture can be applied to analyse social media data.

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