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Jinhyun Park

Datos Biográficos

ID7970588
NOMBREJinhyun Park
NOMBRESJinhyun
APELLIDOPark
FIRMAPARK J
AFILIACIONESKorea University
ORCID0000-0002-5823-1106
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Machine learning prediction of anxiety symptoms in social anxiety disorder

    Open Access•Jinhyun Park, Jin-Hyun Park et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. The results of this study can be used as evidence for personalized VR sessions and to demonstrate the strength of the clinical use of multimodal data

Sin obras prominentes en esta página.

  • Machine learning prediction of anxiety symptoms in social anxiety disorder

    Open Access•Jinhyun Park, Jin-Hyun Park et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. The results of this study can be used as evidence for personalized VR sessions and to demonstrate the strength of the clinical use of multimodal data

Anxiety (1 obras) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 obras) · Artificial Intelligence (1 obras) · Clinical Psychology (1 obras) · Clinical Psychology (1 obras) · Cognitive psychology (1 obras) · Computer Science (1 obras) · Digital Mental Health Interventions (1 obras) · Machine learning (1 obras) · Mental Health Research Topics (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae