Predicting subjective well-being in a high-risk sample of Russian mental health app users

Predicting subjective well-being in a high-risk sample of Russian mental health app users

Abstract Despite recent achievements in predicting personality traits and some other human psychological features with digital traces, prediction of subjective well-being (SWB) appears to be a relatively new task with few solutions. COVID-19 pandemic has added both a stronger need for rapid SWB scre...

Full description

Bibliographic Details
Main Authors: Polina Panicheva, Larisa Mararitsa, Semen Sorokin, Olessia Koltsova, Paolo Rosso
Format: Article
Language:English
Published: SpringerOpen 2022-04-01
Series:EPJ Data Science
Subjects:
Digital traces
Subjective well-being
Mental health prediction
Online Access:https://doi.org/10.1140/epjds/s13688-022-00333-x

Internet

https://doi.org/10.1140/epjds/s13688-022-00333-x

Similar Items