Architectural Design of a Blockchain-Enabled, Federated Learning Platform for Algorithmic Fairness in Predictive Health Care: Design Science Study

• 主要な著者: Xueping Liang (著者), Juan Zhao (著者), Yan Chen (著者), Eranga Bandara (著者), Sachin Shetty (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2023-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundDeveloping effective and generalizable predictive models is critical for disease prediction and clinical decision-making, often requiring diverse samples to mitigate population bias and address algorithmic fairness. However, a major challenge is to retrieve learning models across multiple...