Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting

arXiv:2403.19442v1 Announce Type: new
Abstract: In the evolving field of psychopathology, the accurate assessment and forecasting of data derived from Ecological Momentary Assessment (EMA) is crucial. EMA offers contextually-rich psychopathological measurements over time, that practically lead to Multivariate Time Series (MTS) data. Thus, many challenges arise in analysis from the temporal complexities inherent in emotional, behavioral, and contextual EMA data as well as their inter-dependencies. To address both of these aspects, this research investigates the performance of Recurrent and Temporal …

abstract analysis arxiv assessment challenges cs.lg data ema forecasting graph multivariate series time series type