Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data

Kim, S., Kim, Y., & Wang, Y. (2024). Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data. Biometrics, 80(4). https://doi.org/10.1093/biomtc/ujae115
Authors:
Soohyun Kim
Young-Geun Kim
Yuanjia Wang
Affiliated Authors:
Soohyun Kim
Young-Geun Kim
Yuanjia Wang
Columbia Affiliation:
Subjects:
Network Analysis of Psychopathology and Mental Disorders (OpenAlex Topic)
Digital Mental Health Interventions and Efficacy (OpenAlex Topic)
Opinion Dynamics and Social Influence (OpenAlex Topic)
Ecological Momentary Assessment (MeSH)
Models, Statistical (MeSH)
Computer Simulation (MeSH)
Author Keywords:
dynamic models
machine learning
mental disorders
precision medicine
restricted boltzmann machine
elink
Publication Type:
Article
Unique ID:
10.1093/biomtc/ujae115
PMID:
39400260
DOI:
10.1093/biomtc/ujae115
Journal:
Biometrics
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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View Web of Science Record

Record Created: