Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting-Reference-Cited by-同舟云学术

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

Published:2024-05-13 Issue: Volume: Page:158-166
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW)
language:
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Author:

Ntekouli Mandani¹,Spanakis Gerasimos¹,Waldorp Lourens²,Roefs Anne³

Affiliation:

1. Maastricht University,Department of Advanced Computing Sciences,Maastricht,The Netherlands

2. University of Amsterdam,Department of Psychological Methods,Amsterdam,The Netherlands

3. Maastricht University,Faculty of Psychology and Neuroscience,Maastricht,The Netherlands

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10555031/10555051/10555057.pdf?arnumber=10555057

Reference26 articles.

1. How to predict mood? delving into features of smartphone-based data;Becker,2016

2. Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps

3. Moving Forward: Challenges and Directions for Psychopathological Network Theory and Methodology

4. Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data

5. A new science of mental disorders: Using personalised, transdiagnostic, dynamical systems to understand, model, diagnose and treat psychopathology

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