Personalised depression forecasting using mobile sensor data and ecological momentary assessment
Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Kathan, Alexander ; Harrer, Mathias ; Küster, Ludwig ; Triantafyllopoulos, Andreas ; He, Xiangheng ; Milling, Manuel ; Gerczuk, Maurice ; Yan, Tianhao ; Rajamani, Srividya Tirunellai ; Heber, Elena ; Grossmann, Inga ; Ebert, David D. ; Schuller, Björn W.
Stichworte:
Digital Health ; depression ; forecasting ; personalised models ; machine learning ; mHealth ; mental illness
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