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ETHNOS_APP

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Melissa McCradden

Dados Biográficos

ID7198010
NOMEMelissa McCradden
PRENOMESMelissa
SOBRENOMEMcCradden
ASSINATURAMCCRADDEN M
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Machine learning used to study risk factors for chronic diseases

    Open Access•Mahek Shergill, Steve Durant et al.•ARTICLE•Canadian Journal of Public Health•2026

    OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…

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  • Machine learning used to study risk factors for chronic diseases

    Open Access•Mahek Shergill, Steve Durant et al.•ARTICLE•Canadian Journal of Public Health•2026

    OBJECTIVES: Machine learning (ML) has received significant attention for its potential to process and learn from vast amounts of data. Our aim was to perform a scoping review to identify studies that used ML to study risk factors for chronic diseases at a population level, notably those that incorporated methods to mitigate algorithmic bias. We focused on ML applications for the most common risk factors for chronic disease: tobacco use, alcohol u…

Artificial Intelligence (1 obras) · Artificial Intelligence (1 obras) · Artificial Intelligence in Healthcare and Education (1 obras) · Computer Science (1 obras) · Digital Mental Health Interventions (1 obras) · Medicine (1 obras) · Mental Health via Writing (1 obras) · Risk analysis (engineering) (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