Real-time monitoring to predict depressive symptoms: study protocol.

Journal: Frontiers in psychiatry
Published Date:

Abstract

INTRODUCTION: According to the World Health Organization, Depression is the fourth leading cause of global disease burden. However, traditional clinical and self-report assessments of depression have limitations in providing timely diagnosis and intervention. Recently, digital phenotyping studies have found the possibility of overcoming these limitations through the use of wearable-devices and smartphones. The present study aims to identify the digital phenotype that significantly predicts depressive symptoms.

Authors

  • Yu-Rim Lee
    Department of Psychology, Kangwon National University, Chuncheon-si, Republic of Korea.
  • Jong-Sun Lee
    Department of Psychology, Kangwon National University, Chuncheon-si, Republic of Korea.

Keywords

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