Passive diagnosis incorporating the PHQ-4 for depression and anxiety

Delahunty, Fionn , Johansson, Robert , & Arcan, Mihael (2019). Passive diagnosis incorporating the PHQ-4 for depression and anxiety. Paper presented at the Social Media Mining for Health Applications Workshop, DOI: 10.13025/ee3h-yz88

Abstract

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.

Funder

Science Foundation Ireland

Publisher

NUI Galway

Rights

Attribution-NonCommercial-NoDerivs 3.0 Ireland

cbn

Collections

Data Science Institute (Workshop Papers)