Personalised depression forecasting using mobile sensor data and ecological momentary assessment

INTRODUCTION: Digital 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 treatme...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715619/
https://www.ncbi.nlm.nih.gov/pubmed/36465087
http://dx.doi.org/10.3389/fdgth.2022.964582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715619/
https://www.ncbi.nlm.nih.gov/pubmed/36465087
http://dx.doi.org/10.3389/fdgth.2022.964582

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