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

BACKGROUND: Developing 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 multipl...

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Detalles Bibliográficos
Autores principales: Liang, Xueping, Zhao, Juan, Chen, Yan, Bandara, Eranga, Shetty, Sachin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644196/
https://www.ncbi.nlm.nih.gov/pubmed/37902833
http://dx.doi.org/10.2196/46547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644196/
https://www.ncbi.nlm.nih.gov/pubmed/37902833
http://dx.doi.org/10.2196/46547

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