Web: http://arxiv.org/abs/2205.03391

May 9, 2022, 1:11 a.m. | Alexander Kathan, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Tianhao Yan, Srividya Tirunellai Rajamani, Ludwig Küster, Mathias Har

cs.LG updates on arXiv.org arxiv.org

Digital health applications are becoming increasingly important for assessing
and monitoring the wellbeing of people suffering from mental health conditions
like depression. A common target of said applications is to predict the results
of self-assessed Patient-Health-Questionnaires (PHQ), indicating current
symptom severity of depressive individuals. In this work, we explore the
potential of using actively-collected data to predict and forecast daily PHQ-2
scores on a newly-collected longitudinal dataset. We obtain a best MAE of 1.417
for daily prediction of PHQ-2 scores, …

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