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ETHNOS_APP

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Wai Yin Lam

Dados Biográficos

ID7968242
NOMEWai Yin Lam
PRENOMESWai Yin
SOBRENOMELam
ASSINATURALAM W Y
AFILIAÇÕESHuntsman Cancer Institute
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2025
ANO MAIS RECENTE DE PUBLICAÇÃO2025
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 …

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  • 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae