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FairLogue: Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using the All of Us Research Program

Fuente: arXiv

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Bibliographic Details
Main Authors:	Souligne, Nick, Subbian, Vignesh
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
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