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Alexandros Katsiferis

Datos Biográficos

ID7794969
NOMBREAlexandros Katsiferis
NOMBRESAlexandros
APELLIDOKatsiferis
FIRMAKATSIFERIS A
AFILIACIONESUniversity of Copenhagen
ORCID0000-0002-0957-9835
VERIFICADOSí
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

    Open Access•Helen Coupland, Neil Scheidwasser et al.•ARTICLE•BMC Public Health•2025

    These insights provide a foundation for future research applying DL and XAI to life course data, highlighting the challenges associated with sparse healthcare data, and the critical need for advancing interpretability frameworks in personalised public health

  • Assessing racial bias in type 2 diabetes risk prediction algorithms

    Open Access•Héléne T Cronjé, Alexandros Katsiferis et al.•ARTICLE•PLOS Global Public Health•2023

    Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate…

Sin obras prominentes en esta página.

  • Assessing racial bias in type 2 diabetes risk prediction algorithms

    Open Access•Héléne T Cronjé, Alexandros Katsiferis et al.•ARTICLE•PLOS Global Public Health•2023

    Risk prediction models for type 2 diabetes can be useful for the early detection of individuals at high risk. However, models may also bias clinical decision-making processes, for instance by differential risk miscalibration across racial groups. We investigated whether the Prediabetes Risk Test (PRT) issued by the National Diabetes Prevention Program, and two prognostic models, the Framingham Offspring Risk Score, and the ARIC Model, demonstrate…

  • Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis

    Open Access•Helen Coupland, Neil Scheidwasser et al.•ARTICLE•BMC Public Health•2025

    These insights provide a foundation for future research applying DL and XAI to life course data, highlighting the challenges associated with sparse healthcare data, and the critical need for advancing interpretability frameworks in personalised public health

Gerontology (2 obras) · Medicine (2 obras) · Biostatistics (1 obras) · Course (navigation (1 obras) · demographic modeling and climate adaptation (1 obras) · Demography (1 obras) · Developmental psychology (1 obras) · Diabetes mellitus (1 obras) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 obras) · Disease (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