KU Leuven
Quantitative Psychology and Individual Differences
Personal academic webpage

Project
Online detection of early warning signals of mood disorder through statistical process control

Mood disorders are highly prevalent and incur a large cost for individuals, their social environment, and society. The aim of this project is to study the potential of statistical process control techniques for the online detection of early warning signals of such mood disorders in data that are continuously harvested. The planned research involves the development and evaluation of new statistical process control techniques for affective data as well as the analysis of available experience sampling data of both clinical and non-clinical populations. 

Supervisors
Eva Ceulemans, Francis Tuerlinckx, Bart De Ketelaere

Financed by

Period
2019 – 2023