Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention

arXiv:2405.04854v1 Announce Type: new
Abstract: In the field of psychopathology, Ecological Momentary Assessment (EMA) studies offer rich individual data on psychopathology-relevant variables (e.g., affect, behavior, etc) in real-time. EMA data is collected dynamically, represented as complex multivariate time series (MTS). Such information is crucial for a better understanding of mental disorders at the individual- and group-level. More specifically, clustering individuals in EMA data facilitates uncovering and studying the commonalities as well as variations of groups in the population. Nevertheless, since …

abstract arxiv assessment attention behavior clustering cs.lg data ema etc feature information multivariate real-time series studies temporal through time series type understanding variables