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Trenton Chang

Datos Biográficos

ID9064162
NOMBRETrenton Chang
NOMBRESTrenton
APELLIDOChang
FIRMACHANG T
AFILIACIONESUniversity of Michigan
ORCID0000-0003-4679-5841
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Racial differences in laboratory testing as a potential mechanism for bias in AI

    Open Access•Trenton Chang, Mark Nuppnau et al.•ARTICLE•PLOS Global Public Health•2024

    AI models are often trained using available laboratory test results. Racial differences in laboratory testing may bias AI models for clinical decision support, amplifying existing inequities. This study aims to measure the extent of racial differences in laboratory testing in adult emergency department (ED) visits. We conducted a retrospective 1:1 exact-matched cohort study of Black and White adult patients seen in the ED, matching on age, biolog…

Sin obras prominentes en esta página.

  • Racial differences in laboratory testing as a potential mechanism for bias in AI

    Open Access•Trenton Chang, Mark Nuppnau et al.•ARTICLE•PLOS Global Public Health•2024

    AI models are often trained using available laboratory test results. Racial differences in laboratory testing may bias AI models for clinical decision support, amplifying existing inequities. This study aims to measure the extent of racial differences in laboratory testing in adult emergency department (ED) visits. We conducted a retrospective 1:1 exact-matched cohort study of Black and White adult patients seen in the ED, matching on age, biolog…

Artificial Intelligence in Healthcare and Education (1 obras) · Autopsy Techniques and Outcomes (1 obras) · Cohort (1 obras) · Cohort study (1 obras) · Emergency department (1 obras) · Emergency Medicine (1 obras) · Internal Medicine (1 obras) · Medicine (1 obras) · Propensity score matching (1 obras) · Psychiatry (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