Adversarial debiasing for age-equitable diabetes prediction: performance–fairness trade-offs and partition dependency in machine learning - Top-Institutions - MDSpire

Adversarial debiasing for age-equitable diabetes prediction: performance–fairness trade-offs and partition dependency in machine learning

  • By

  • Vinod Kumar Yata

  • Sravanthi Jena

  • Meera Indracanti

  • Shivaprasad Chitta

  • Narasaiah Kolliputi

  • July 17, 2026

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Top Institutions in Endocrinology

Brief introduction explaining scope and methodology.

  • #1

    Stanford University/Stanford Health Care
    Stanford University/Stanford Health Care

    Palo Alto, California

    Key Differentiators

    • Endocrinology
    • Diabetes

  • #2

    University of California, San Francisco (UCSF Health)
    University of California, San Francisco (UCSF Health)

    San Francisco, California

    Key Differentiators

    • Endocrinology
    • Diabetes

Original Source(s)

Adversarial debiasing for age-equitable diabetes prediction: performance–fairness trade-offs and partition dependency in machine learning

  • by Vinod Kumar Yata, Sravanthi Jena, Meera Indracanti, Shivaprasad Chitta, Narasaiah Kolliputi

  • July 17, 2026

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