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ETHNOS_APP

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Wai Yin Lam

Datos Biográficos

ID7968242
NOMBREWai Yin Lam
NOMBRESWai Yin
APELLIDOLam
FIRMALAM W Y
AFILIACIONESHuntsman Cancer Institute
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI

    Open Access•Nina de Lacy, Michael J Ramshaw et al.•ARTICLE•Frontiers in Psychiatry•2025

    Each disorder had a specific set of predictors, though parent problem behavioral traits and sleep disturbances represented cross-cutting themes. Additional computational experiments revealed that psychosocial predictors were more important to predicting early adolescent internalizing disorders than cognitive, neural or biological factors and generated models with better performance. Future work, including replication in additional datasets, will …

Sin obras prominentes en esta página.

  • Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI

    Open Access•Nina de Lacy, Michael J Ramshaw et al.•ARTICLE•Frontiers in Psychiatry•2025

    Each disorder had a specific set of predictors, though parent problem behavioral traits and sleep disturbances represented cross-cutting themes. Additional computational experiments revealed that psychosocial predictors were more important to predicting early adolescent internalizing disorders than cognitive, neural or biological factors and generated models with better performance. Future work, including replication in additional datasets, will …

Anxiety (1 obras) · Child and Adolescent Psychosocial and Emotional Development (1 obras) · Deep learning (1 obras) · Digital Mental Health Interventions (1 obras) · Generalizability theory (1 obras) · Mental health (1 obras) · Mental Health Research Topics (1 obras) · Psychosocial (1 obras) · Replication (statistics (1 obras) · Set (abstract data type (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