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Marzyeh Ghassemi

Datos Biográficos

ID5082483
NOMBREMarzyeh Ghassemi
NOMBRESMarzyeh
APELLIDOGhassemi
FIRMAGHASSEMI M
AFILIACIONESVector Institute
ORCID0000-0001-6349-7251
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
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…

  • Presentation matters for AI-generated clinical advice

    Open Access•Marzyeh Ghassemi•ARTICLE•Nature Human Behaviour•2023•Referencias: 17

  • Can AI Help Reduce Disparities in General Medical and Mental Health Care

    Open Access•Irene Y Chen, Peter Szolovits et al.•ARTICLE•The AMA Journal of Ethic•2019

    This analysis can provide a framework for assessing and identifying disparate impacts of artificial intelligence in health care

Sin obras prominentes en esta página.

  • Can AI Help Reduce Disparities in General Medical and Mental Health Care

    Open Access•Irene Y Chen, Peter Szolovits et al.•ARTICLE•The AMA Journal of Ethic•2019

    This analysis can provide a framework for assessing and identifying disparate impacts of artificial intelligence in health care

  • Presentation matters for AI-generated clinical advice

    Open Access•Marzyeh Ghassemi•ARTICLE•Nature Human Behaviour•2023•Referencias: 17

  • 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 (3 obras) · Computer Science (3 obras) · Medicine (3 obras) · Artificial Intelligence in Healthcare and Education (2 obras) · Psychology (2 obras) · Actuarial science (1 obras) · Artificial Intelligence (1 obras) · Business (1 obras) · Chronic Disease Management Strategies (1 obras) · Clinical Reasoning and Diagnostic Skills (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