Personalised depression forecasting using mobile sensor data and ecological momentary assessment

• Main Authors: Alexander Kathan (Author), Mathias Harrer (Author), Ludwig Küster (Author), Andreas Triantafyllopoulos (Author), Xiangheng He (Author), Manuel Milling (Author), Maurice Gerczuk (Author), Tianhao Yan (Author), Srividya Tirunellai Rajamani (Author), Elena Heber (Author), Inga Grossmann (Author), David D. Ebert (Author), Björn W. Schuller (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

IntroductionDigital health interventions are an effective way to treat depression, but it is still largely unclear how patients' individual symptoms evolve dynamically during such treatments. Data-driven forecasts of depressive symptoms would allow to greatly improve the personalisation of trea...